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1

MER  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81 §98 3.241 3.20260July

2

Linear Prediction Models with Graph Regularization for Web-page Categorization  

E-Print Network [OSTI]

! Inc. New York City, NY, USA tzhang@yahoo-inc.com Alexandrin Popescul Yahoo! Inc. Santa Clara, CA, USA popescul@yahoo- inc.com Byron Dom Yahoo! Inc. Santa Clara, CA, USA bdom@yahoo-inc.com ABSTRACT We present that classes of graph neighbors seeded with a text only classifier and further re- fined with an EM

Zhang, Tong

3

The MER/CIP Portal for Ground Operations Louise Chan*  

E-Print Network [OSTI]

The MER/CIP Portal for Ground Operations Louise Chan* Sanjay Desai* Matthew D'Ortenzio Robert E Portal We developed the Mars Exploration Rover/Collaborative Information Portal (MER/CIP) to facilitate MER operations. MER/CIP provides a cen- tralized, one-stop delivery platform integrating science

Filman, Robert E.

4

D:\PRJ\MER\MERPUB\MER8.vp  

Gasoline and Diesel Fuel Update (EIA)

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5

Analysis of the BATSE Continuous MER data  

E-Print Network [OSTI]

The CGRO/BATSE database includes many types of data such as the 16-channel continuous background or medium energy resolution burst data (CONT and MER data types). We have calculated some four hundred burst's medium energy resolution spectra and Principal Component Analysis has been applied. We found five components can describe GRBs' spectra.

P. Veres; I. Horvath; L. G. Balazs

2005-10-11T23:59:59.000Z

6

Graph Algorithms Tours in Graphs  

E-Print Network [OSTI]

terminates only at y. Graph Algorithms 14 #12;Combining the Main and the Secondary Cycles Let C = (x a secondary cycle C starting with y. - Combine the cycles C and C into C. Return the cycle C. Graph AlgorithGraph Algorithms Tours in Graphs Graph Algorithms #12;Special Paths and Cycles in Graphs Euler Path

Bar-Noy, Amotz

7

Graphs associated with semigroups  

E-Print Network [OSTI]

the empty graph is not td d t b pl t . A ~b* h 1 g ph G graph having all of its vertices and edges in G. The citations on the following pages follow the style f th ~fdt f th A t M th tt 1 ~S1 t A path is a sequence of distinct vertices, V , V... , . . . , V n' where V and V are adjacent for i 1, 2, . . . , n-l. If there exists a path between two vertices, the pair is said to be connected. A connected ~ra h is a graph in which every pair of vertices is joined by a path. The empty graph...

Baber, Stephen Asa

2012-06-07T23:59:59.000Z

8

Rover Technology Development and Mission Infusion Beyond MER  

E-Print Network [OSTI]

1 Rover Technology Development and Mission Infusion Beyond MER Richard Volpe Jet Propulsion ROVER TECHNOLOGY USAGE ......3 4. ROVER TECHNOLOGY INFUSION............3 5. MTP ROVER TECHNOLOGY

Volpe, Richard

9

Page  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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10

Evan Marshall Trevathan Admissible SC-Graphs  

E-Print Network [OSTI]

Evan Marshall Trevathan Admissible SC-Graphs Page 1 Admissible SC-Graphs Define: ( , )G ( 2)nB n ( 4)nD n ( 6,7,8)nE n 4F 2G 2H 3H #12;Evan Marshall Trevathan Admissible SC-Graphs Page 2 the form of a #12;Evan Marshall Trevathan Admissible SC-Graphs Page 3 "loop", like ,with no other

Donnelly, Rob

11

Page  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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12

Page  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3 The

13

Page  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3 The2

14

Page  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3

15

Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 TheSteven Ashby Dr. Steven Para9EnvironmentalPage of 1 pages 4b.

16

pages)  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley Responsible DOE Office: Office of Environmentalmodule 4 module

17

pages)  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley Responsible DOE Office: Office of Environmentalmodule 4 module

18

SPC Beche-de mer Information Bulletin #10 May 1998 Introduction  

E-Print Network [OSTI]

SPC Beche-de mer Information Bulletin #10 ­ May 1998 15 Introduction Although Stichopus chloronotus, University of La RZunion, France #12;SPC Beche-de-mer Information Bulletin #10 ­ May 1998 16 ¥ on specimens

Paris-Sud XI, Université de

19

SPC Beche-de-mer Information Bulletin #10 May 1998 Introduction  

E-Print Network [OSTI]

SPC Beche-de-mer Information Bulletin #10 ­ May 1998 10 Introduction Sea cucumber harvesting RZunion #12;SPC Beche-de mer Information Bulletin #10 ­ May 1998 11 Harvesting was done during the spring

Paris-Sud XI, Université de

20

SPC Beche-de-mer Information Bulletin #8April 1996 17 Commercial holothurians in South Sulawesi,  

E-Print Network [OSTI]

SPC Beche-de-mer Information Bulletin #8April 1996 17 Commercial holothurians in South Sulawesi [Photo: C. Conand] #12;SPC Beche-de-mer Information Bulletin #8 April 199618 tionships established

Boyer, Edmond

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Rank Synopses for Efficient Time Travel on the Web Graph  

E-Print Network [OSTI]

Rank Synopses for Efficient Time Travel on the Web Graph Klaus Berberich, Srikanta Bedathur}@mpi-inf.mpg.de ProblemProblem SolutionSolution ExperimentsExperiments Step 1: PageRank Normalization We normalize PageRank scores computed on Gt ( Vt, Et ) (i.e., the graph at time t ) dividing by the lower bound PageRank score

22

Some algorithmic results in graph imbeddings  

E-Print Network [OSTI]

new technique called double bar amalgamation is developed. The second problem deals with constructing graph imbeddings on a sur- face of genus c (where c is an integer) less than the marimum genus 7, (G) the given graph G. We develop a polynomial... time algorithm that constructs an imbedding of a given upper imbbedable graph G with even Betti number, on an orientable surface of genus (7, (G) ? 1). TABLE OF CONTENTS CHAPTER Page I INTRODUCTION 1. 1 Overview 1. 2 Graphs and Relationships Used...

Joshi, Sanjay

1990-01-01T23:59:59.000Z

23

Visualization Graph | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save EnergyGlouster,Winside, Nebraska (UtilityVirginiaNoGraph Home

24

Graphs, Trees Pebbles, Robots  

E-Print Network [OSTI]

Graphs, Trees Pebbles, Robots 1 #12;Outline I. Robot Arms. II. Rigid Graphs. III. Characterizations. Applications: (a) Rigid Components. 2 #12;I. Robot arms and the Carpenter's Rule Problem. Can a robot arm

Haas, Ruth

25

Hyperbolic Graph Generator  

E-Print Network [OSTI]

Networks representing many complex systems in nature and society share some common structural properties like heterogeneous degree distributions and strong clustering. Recent research on network geometry has shown that those real networks can be adequately modeled as random geometric graphs in hyperbolic spaces. In this paper, we present a computer program to generate such graphs. Besides real-world-like networks, the program can generate random graphs from other well-known graph ensembles, such as the soft configuration model, random geometric graphs on a circle, or Erd\\H{o}s-R\\'enyi random graphs. The simulations show a good match between the expected values of different network structural properties and the corresponding empirical values measured in generated graphs, confirming the accurate behavior of the program.

Aldecoa, Rodrigo; Krioukov, Dmitri

2015-01-01T23:59:59.000Z

26

Simrank: Rapid and sensitive general-purpose k-mer search tool  

SciTech Connect (OSTI)

Terabyte-scale collections of string-encoded data are expected from consortia efforts such as the Human Microbiome Project (http://nihroadmap.nih.gov/hmp). Intra- and inter-project data similarity searches are enabled by rapid k-mer matching strategies. Software applications for sequence database partitioning, guide tree estimation, molecular classification and alignment acceleration have benefited from embedded k-mer searches as sub-routines. However, a rapid, general-purpose, open-source, flexible, stand-alone k-mer tool has not been available. Here we present a stand-alone utility, Simrank, which allows users to rapidly identify database strings the most similar to query strings. Performance testing of Simrank and related tools against DNA, RNA, protein and human-languages found Simrank 10X to 928X faster depending on the dataset. Simrank provides molecular ecologists with a high-throughput, open source choice for comparing large sequence sets to find similarity.

DeSantis, T.Z.; Keller, K.; Karaoz, U.; Alekseyenko, A.V; Singh, N.N.S.; Brodie, E.L; Pei, Z.; Andersen, G.L; Larsen, N.

2011-04-01T23:59:59.000Z

27

Spectral characterizations of sun graphs and broken sun graphs  

E-Print Network [OSTI]

Spectral characterizations of sun graphs and broken sun graphs Romain Boulet 10 Dec 2009 Abstract- cyclic graphs. An odd (resp. even) sun is a graph obtained by appending a pendant vertex to each vertex of an odd (resp. even) cycle. A broken sun is a graph obtained by deleting pendant vertices of a sun

Paris-Sud XI, Université de

28

Convex Graph Invariants  

E-Print Network [OSTI]

Dec 2, 2010 ... where A represents the adjacency matrix of a graph, and the maximum is taken over all ...... SDPT3 - a MATLAB software package for.

2010-12-02T23:59:59.000Z

29

Graph Generator Survey  

SciTech Connect (OSTI)

The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allowed the emulation of dierent application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report examines existing synthetic graph generator implementations in preparation for further study on the properties of their generated synthetic graphs.

Lothian, Josh [ORNL; Powers, Sarah S [ORNL; Sullivan, Blair D [ORNL; Baker, Matthew B [ORNL; Schrock, Jonathan [ORNL; Poole, Stephen W [ORNL

2013-12-01T23:59:59.000Z

30

Graph concatenation for quantum codes  

E-Print Network [OSTI]

Graphs are closely related to quantum error-correcting codes: every stabilizer code is locally equivalent to a graph code and every codeword stabilized code can be described by a graph and a classical code. For the ...

Beigi, Salman

31

Page 1 of 9 Full Screen  

E-Print Network [OSTI]

Evolution of Database Systems Graph-Based Relational Object-Relational 1960's-1970's 1980's-1990's 1990's-Oriented programming language with a DBMS 3 One approach is to implement on top of a relational DBMS. · Object #12;Home Page Title Page Page 5 of 9 Go Back Full Screen Close Quit Object-Relational Evolution

Levene, Mark

32

Querying graphs with data  

E-Print Network [OSTI]

Graph data is becoming more and more pervasive. Indeed, services such as Social Networks or the Semantic Web can no longer rely on the traditional relational model, as its structure is somewhat too rigid for the applications ...

Vrgoc, Domagoj

2014-06-27T23:59:59.000Z

33

Analysis of beacon triangulation in random graphs  

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 viii LIST OF TABLES TABLE Page I Beacons needed for different n to avoid conflicts . . . . . . . . . . . . 13 II Beacons needed for different n to make pu(n) equal to one for lambda = 10 from our model and simulation... . . . . . . . . . . . . . . . . . 25 III Beacons needed for different n to make pu(n) equal to one for lambda = 10 from our simulation data for G(n,p) graph and uniform distribution case . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 IV Beacons needed for different n...

Kakarlapudi, Geetha

2005-02-17T23:59:59.000Z

34

Graph Concatenation for Quantum Codes  

E-Print Network [OSTI]

Graphs are closely related to quantum error-correcting codes: every stabilizer code is locally equivalent to a graph code, and every codeword stabilized code can be described by a graph and a classical code. For the construction of good quantum codes of relatively large block length, concatenated quantum codes and their generalizations play an important role. We develop a systematic method for constructing concatenated quantum codes based on "graph concatenation", where graphs representing the inner and outer codes are concatenated via a simple graph operation called "generalized local complementation." Our method applies to both binary and non-binary concatenated quantum codes as well as their generalizations.

Salman Beigi; Isaac Chuang; Markus Grassl; Peter Shor; Bei Zeng

2010-02-03T23:59:59.000Z

35

Graph dynamics : learning and representation  

E-Print Network [OSTI]

Graphs are often used in artificial intelligence as means for symbolic knowledge representation. A graph is nothing more than a collection of symbols connected to each other in some fashion. For example, in computer vision ...

Ribeiro, Andre Figueiredo

2006-01-01T23:59:59.000Z

36

Densities in graphs and matroids  

E-Print Network [OSTI]

|E(H)| |V (H)|?1 ? |E(T)| |V (T)|?1 = 1 for all non-trivial subgraphs of T. In general, a balanced graph G is a graph such that |E(H)| |V (H)| ? |E(G)| |V (G)| and a 1-balanced graph is a graph such that |E(H)| |V (H)|?1 ? |E(G)| |V (G)|?1 for all non...

Kannan, Lavanya

2009-05-15T23:59:59.000Z

37

Temporal Representation in Semantic Graphs  

SciTech Connect (OSTI)

A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.

Levandoski, J J; Abdulla, G M

2007-08-07T23:59:59.000Z

38

Cliques in graphs  

E-Print Network [OSTI]

Cliques in Graphs Siu Lun Allan Lo Christs College University of Cambridge A thesis submitted for the degree of Doctor of Philosophy 2010 Declaration This dissertation is the result of my own work and includes nothing which is the outcome of work...

Lo, Allan

2010-10-12T23:59:59.000Z

39

Concept generation of dynamic systems using bond graphs  

E-Print Network [OSTI]

REPRESENTATIONS OF IMMITTANCES . . . Immittance synthesis in design Conventional immit tance synthesis techniques by Foster and Cauer Immittance synthesis with bond graphs . . . . . . . . . . . . . Example - Synthesis of two frequency absorber... . . . . . . . . . 35 . 35 . 38 . . . . . . 40 . . . . . . 49 TABLE OF CONTENTS (Continued) CHAPTER Page V PHYSICAL REPRESENTATIONS OF TRANSFER FUNCTIONS Transfer function synthesis in design . . . . . . . . . . . General procedure Conditions for passive...

Krishnan, S

1990-01-01T23:59:59.000Z

40

PAGE OF PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Extremal Graph Numbers of Graphs on Few May 4, 2012  

E-Print Network [OSTI]

Extremal Graph Numbers of Graphs on Few Vertices John Kim May 4, 2012 1 Introduction Let H this number to be the extremal graph number of H on n vertices, and we denote it by ex(n, H). When H(n, K3) n 2 2 . A precise formula for ex(n, K3) is given by: ex(n, K3) = n 2 n + 1 2 . The extremal

Zeilberger, Doron

42

Graph Coarsening for Path Finding in Cybersecurity Graphs  

SciTech Connect (OSTI)

n the pass-the-hash attack, hackers repeatedly steal password hashes and move through a computer network with the goal of reaching a computer with high level administrative privileges. In this paper we apply graph coarsening in network graphs for the purpose of detecting hackers using this attack or assessing the risk level of the network's current state. We repeatedly take graph minors, which preserve the existence of paths in the graph, and take powers of the adjacency matrix to count the paths. This allows us to detect the existence of paths as well as find paths that have high risk of being used by adversaries.

Hogan, Emilie A.; Johnson, John R.; Halappanavar, Mahantesh

2013-01-01T23:59:59.000Z

43

How to Resum Feynman Graphs  

E-Print Network [OSTI]

In this paper we reformulate in a simpler way the combinatoric core of constructive quantum field theory We define universal rational combinatoric weights for pairs made of a graph and one of its spanning trees. These weights are nothing but the percentage of Hepp's sectors in which the tree is leading the ultraviolet analysis. We explain how they allow to reshuffle the divergent series formulated in terms of Feynman graphs into convergent series indexed by the trees that these graphs contain. The Feynman graphs to be used are not the ordinary ones but those of the intermediate field representation, and the result of the reshuffling is called the Loop Vertex Expansion.

Vincent Rivasseau; Zhituo Wang

2013-09-24T23:59:59.000Z

44

Graph/Network Visualization Data model: graph structures (relations,  

E-Print Network [OSTI]

of physics #12;8 The Spring Model Using springs to represent node-node relations. Minimizing energy1 1 Graph/Network Visualization Data model: graph structures (relations, knowledge) and networks hierarchies #12;7 Sugiyama : Building Hierarchy Domain knowledge based. Designing heuristic, e.g. minimizing

Fang, Shiaofen

45

Contraction semigroups on metric graphs  

E-Print Network [OSTI]

The main objective of the present work is to study contraction semigroups generated by Laplace operators on metric graphs, which are not necessarily self-adjoint. We prove criteria for such semigroups to be continuity and positivity preserving. Also we provide a characterization of generators of Feller semigroups on metric graphs.

Vadim Kostrykin; Jurgen Potthoff; Robert Schrader

2008-02-26T23:59:59.000Z

46

Phylogenetic Toric Varieties on Graphs  

E-Print Network [OSTI]

We define the phylogenetic model of a trivalent graph as a generalization of a binary symmetric model of a trivalent phylogenetic tree. If the underlining graph is a tree, the model has a parametrization that can be expressed in terms of the tree...

Buczynska, Weronika J.

2010-10-12T23:59:59.000Z

47

One Acquisition Solution for Integrated Services (OASIS) - Brad DeMers,  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergyDepartment ofOil's Impact on Our National Security

48

PDSF Utilization Graphs  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizingTools Software and Tools Chos Chos is used

49

Contractions of planar graphs in polynomial time?  

E-Print Network [OSTI]

Contractions of planar graphs in polynomial time? Marcin Kami´nski??1 , Dani¨el Paulusma2 that for every graph H, there exists a polyno- mial-time algorithm deciding if a planar graph can be contracted to H. We introduce contractions and topological minors of embedded (plane) graphs and show that a plane

Dimitrios, Thilikos

50

Extremal Graph Problems, Degenerate Extremal Problems,  

E-Print Network [OSTI]

Extremal Graph Problems, Degenerate Extremal Problems, and Supersaturated Graphs Mikl´os Simonovits´an-type extremal problem. The graphs attaining the maximum will be called extremal and their family will be denoted and multi- ple edges. In 1940, P. Tur´an posed and solved the extremal problem of Kp+1, the complete graph

Simonovits, Miklós

51

Virasoro Representations on Fusion Graphs  

E-Print Network [OSTI]

For any non-unitary model with central charge c(2,q) the path spaces associated to a certain fusion graph are isomorphic to the irreducible Virasoro highest weight modules.

J. Kellendonk; A. Recknagel

1992-10-01T23:59:59.000Z

52

Standards for graph algorithm primitives  

E-Print Network [OSTI]

It is our view that the state of the art in constructing a large collection of graph algorithms in terms of linear algebraic operations is mature enough to support the emergence of a standard set of primitive building ...

Mattson, Tim

53

Doing time : inducing temporal graphs  

E-Print Network [OSTI]

We consider the problem of constructing a directed acyclic graph that encodes temporal relations found in a text. The unit of our analysis is a temporal segment, a fragment of text that maintains temporal coherence. The ...

Bramsen, Philip James

2006-01-01T23:59:59.000Z

54

Graph anomalies in cyber communications  

SciTech Connect (OSTI)

Enterprises monitor cyber traffic for viruses, intruders and stolen information. Detection methods look for known signatures of malicious traffic or search for anomalies with respect to a nominal reference model. Traditional anomaly detection focuses on aggregate traffic at central nodes or on user-level monitoring. More recently, however, traffic is being viewed more holistically as a dynamic communication graph. Attention to the graph nature of the traffic has expanded the types of anomalies that are being sought. We give an overview of several cyber data streams collected at Los Alamos National Laboratory and discuss current work in modeling the graph dynamics of traffic over the network. We consider global properties and local properties within the communication graph. A method for monitoring relative entropy on multiple correlated properties is discussed in detail.

Vander Wiel, Scott A [Los Alamos National Laboratory; Storlie, Curtis B [Los Alamos National Laboratory; Sandine, Gary [Los Alamos National Laboratory; Hagberg, Aric A [Los Alamos National Laboratory; Fisk, Michael [Los Alamos National Laboratory

2011-01-11T23:59:59.000Z

55

Managing Attack Graph Complexity Through Visual Hierarchical Aggregation  

E-Print Network [OSTI]

Managing Attack Graph Complexity Through Visual Hierarchical Aggregation Steven Noel Center a framework for managing network attack graph complexity through interactive visualization, which includes hierarchical aggregation of graph elements. Aggregation collapses non-overlapping subgraphs of the attack graph

Noel, Steven

56

Page comments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 TheSteven Ashby Dr. Steven Para9EnvironmentalPage of 1Page

57

Algebraic connectivity and graph robustness.  

SciTech Connect (OSTI)

Recent papers have used Fiedler's definition of algebraic connectivity to show that network robustness, as measured by node-connectivity and edge-connectivity, can be increased by increasing the algebraic connectivity of the network. By the definition of algebraic connectivity, the second smallest eigenvalue of the graph Laplacian is a lower bound on the node-connectivity. In this paper we show that for circular random lattice graphs and mesh graphs algebraic connectivity is a conservative lower bound, and that increases in algebraic connectivity actually correspond to a decrease in node-connectivity. This means that the networks are actually less robust with respect to node-connectivity as the algebraic connectivity increases. However, an increase in algebraic connectivity seems to correlate well with a decrease in the characteristic path length of these networks - which would result in quicker communication through the network. Applications of these results are then discussed for perimeter security.

Feddema, John Todd; Byrne, Raymond Harry; Abdallah, Chaouki T. (University of New Mexico)

2009-07-01T23:59:59.000Z

58

Graph Analytics for Signature Discovery  

SciTech Connect (OSTI)

Within large amounts of seemingly unstructured data it can be diffcult to find signatures of events. In our work we transform unstructured data into a graph representation. By doing this we expose underlying structure in the data and can take advantage of existing graph analytics capabilities, as well as develop new capabilities. Currently we focus on applications in cybersecurity and communication domains. Within cybersecurity we aim to find signatures for perpetrators using the pass-the-hash attack, and in communications we look for emails or phone calls going up or down a chain of command. In both of these areas, and in many others, the signature we look for is a path with certain temporal properties. In this paper we discuss our methodology for finding these temporal paths within large graphs.

Hogan, Emilie A.; Johnson, John R.; Halappanavar, Mahantesh; Lo, Chaomei

2013-06-01T23:59:59.000Z

59

Optimization in Geometric Graphs: Complexity and Approximation  

E-Print Network [OSTI]

We consider several related problems arising in geometric graphs. In particular, we investigate the computational complexity and approximability properties of several optimization problems in unit ball graphs and develop algorithms to find exact...

Kahruman-Anderoglu, Sera

2011-02-22T23:59:59.000Z

60

A discrete curvature on a planar graph  

E-Print Network [OSTI]

Given a planar graph derived from a spherical, euclidean or hyperbolic tessellation, one can define a discrete curvature by combinatorial properties, which after embedding the graph in a compact 2d-manifold, becomes the Gaussian curvature.

M. Lorente

2004-12-20T23:59:59.000Z

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Percolation in the Secrecy Graph Amites Sarkar  

E-Print Network [OSTI]

Percolation in the Secrecy Graph Amites Sarkar Martin Haenggi July 8, 2011 Abstract Secrecy graphs. Department of Mathematics, Western Washington University, Bellingham, WA 98225, USA. Email: amites.sarkar

Sarkar, Amites

62

NLS ground states on graphs  

E-Print Network [OSTI]

We investigate the existence of ground states for the subcritical NLS energy on metric graphs. In particular, we find out a topological assumption that guarantees the nonexistence of ground states, and give an example in which the assumption is not fulfilled and ground states actually exist. In order to obtain the result, we introduce a new rearrangement technique, adapted to the graph where it applies. Owing to such a technique, the energy level of the rearranged function is improved by conveniently mixing the symmetric and monotone rearrangement procedures.

Riccardo Adami; Enrico Serra; Paolo Tilli

2014-06-16T23:59:59.000Z

63

A heuristic algorithm for graph isomorphism  

E-Print Network [OSTI]

polynomial time algorithm O(n?), ISO-MT, that seems' to solve the graph isomorphism decision problem correctly for all classes of graphs. Our algorithm is extremely useful from the practical point of view since counter examples (pairs of graphs for which our...

Torres Navarro, Luz

1999-01-01T23:59:59.000Z

64

THE TUKEY ORDER FOR GRAPHS 1. Introduction  

E-Print Network [OSTI]

THE TUKEY ORDER FOR GRAPHS 1. Introduction Given a graph G, we let VG stand for the vertex set of G. For graphs G without isolated vertices, the Tukey order can be characterized thus: () G H iff there exist) is called a (generalized) Galois-Tukey connection (abbreviated GT-connection) from R to S if the following

Nyikos, Peter J.

65

Untitled Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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66

DOE PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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67

DOE PAGES  

Office of Scientific and Technical Information (OSTI)

a useful reference. Find out more Do you have questions about DOE PAGESBeta content, procedures, or policies? More information is available at OSTI's Public Access Policy page and...

68

Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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69

Generalized Graph States Based on Hadamard Matrices  

E-Print Network [OSTI]

Graph states are widely used in quantum information theory, including entanglement theory, quantum error correction, and one-way quantum computing. Graph states have a nice structure related to a certain graph, which is given by either a stabilizer group or an encoding circuit, both can be directly given by the graph. To generalize graph states, whose stabilizer groups are abelian subgroups of the Pauli group, one approach taken is to study non-abelian stabilizers. In this work, we propose to generalize graph states based on the encoding circuit, which is completely determined by the graph and a Hadamard matrix. We study the entanglement structures of these generalized graph states, and show that they are all maximally mixed locally. We also explore the relationship between the equivalence of Hadamard matrices and local equivalence of the corresponding generalized graph states. This leads to a natural generalization of the Pauli $(X,Z)$ pairs, which characterizes the local symmetries of these generalized graph states. Our approach is also naturally generalized to construct graph quantum codes which are beyond stabilizer codes.

Shawn X Cui; Nengkun Yu; Bei Zeng

2015-02-25T23:59:59.000Z

70

Constrained Graph Optimization: Interdiction and Preservation Problems  

SciTech Connect (OSTI)

The maximum flow, shortest path, and maximum matching problems are a set of basic graph problems that are critical in theoretical computer science and applications. Constrained graph optimization, a variation of these basic graph problems involving modification of the underlying graph, is equally important but sometimes significantly harder. In particular, one can explore these optimization problems with additional cost constraints. In the preservation case, the optimizer has a budget to preserve vertices or edges of a graph, preventing them from being deleted. The optimizer wants to find the best set of preserved edges/vertices in which the cost constraints are satisfied and the basic graph problems are optimized. For example, in shortest path preservation, the optimizer wants to find a set of edges/vertices within which the shortest path between two predetermined points is smallest. In interdiction problems, one deletes vertices or edges from the graph with a particular cost in order to impede the basic graph problems as much as possible (for example, delete edges/vertices to maximize the shortest path between two predetermined vertices). Applications of preservation problems include optimal road maintenance, power grid maintenance, and job scheduling, while interdiction problems are related to drug trafficking prevention, network stability assessment, and counterterrorism. Computational hardness results are presented, along with heuristic methods for approximating solutions to the matching interdiction problem. Also, efficient algorithms are presented for special cases of graphs, including on planar graphs. The graphs in many of the listed applications are planar, so these algorithms have important practical implications.

Schild, Aaron V [Los Alamos National Laboratory

2012-07-30T23:59:59.000Z

71

Acyclic Coloring of Graphs of Maximum Degree Five: Nine Colors are Enough  

E-Print Network [OSTI]

graphs with "large" girth [BKW99], 1-planar graphs [BKRS01], outerplanar graphs (see for instance [Sop97

Boyer, Edmond

72

EuroComb 2005 DMTCS proc. AE, 2005, 389396 Acyclic Coloring of Graphs of Maximum  

E-Print Network [OSTI]

for several families F of graphs such as planar graphs [Bor79], planar graphs with "large" girth [BKW99], 1

Fertin, Guillaume

73

Acyclic Coloring of Graphs of Maximum Degree Five: Nine Colors are Enough  

E-Print Network [OSTI]

graphs with ``large'' girth [BKW99], 1­planar graphs [BKRS01], outerplanar graphs (see for instance [Sop

Fertin, Guillaume

74

Team #32 Page 1 of 19 Modeling Toll Plaza Behavior Using Queuing Theory  

E-Print Network [OSTI]

.2 Environmental Impact . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 4.3 Traffic Capacity and Graphs 18 #12;Team #32 Page 3 of 19 1 Introduction Toll financing has been used throughout the history

Morrow, James A.

75

Home Page  

Office of Legacy Management (LM)

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76

Home Page  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofofOxford SiteToledo SiteTonawanda North - ConsequencesDGwen Hf-irJ12

77

Home Page  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofofOxford SiteToledo SiteTonawanda North - ConsequencesDGwen

78

Home Page  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofofOxford SiteToledo SiteTonawanda North - ConsequencesDGwen Ecology

79

Home Page  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofofOxford SiteToledo SiteTonawanda North - ConsequencesDGwen

80

Home Page  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofofOxford SiteToledo SiteTonawanda North - ConsequencesDGwenEcology

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Untitled Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEM with EDAX (For3 Meeting of1 Rate

82

Untitled Page  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$0.C.Green River,TheEPAJ60014-90101681278.EPBError

83

DATE: PAGE:  

Broader source: Energy.gov (indexed) [DOE]

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84

TITLE PAGE  

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85

Error Page  

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86

JSP Page  

Office of Scientific and Technical Information (OSTI)

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87

ENVIROISSUES PAGE  

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88

Page 1  

Office of Environmental Management (EM)

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89

Page 1  

Office of Environmental Management (EM)

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90

Page 1  

Office of Environmental Management (EM)

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91

Title Page  

Office of Scientific and Technical Information (OSTI)

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92

Subject Pages  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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93

A Distributed Polylogarithmic Time Algorithm for Self-Stabilizing Skip Graphs  

E-Print Network [OSTI]

A Distributed Polylogarithmic Time Algorithm for Self-Stabilizing Skip Graphs Riko Jacob Dept. Computer Science Technische Universität München D-85748 Garching bei München, Germany jacob or commercial advantage and that copies bear this notice and the full citation on the first page. To copy

Richa, Andrea Werneck

94

Lamplighter groups, de Bruijn graphs, spider-web graphs and their spectra  

E-Print Network [OSTI]

We describe the infinite family of spider-web graphs $S_{k,M,N }$, $k \\geq 2$, $M \\geq 1$ and $N \\geq 0$, studied in physical literature as tensor products of well-known de Brujin graphs $B_{k,N}$ and cyclic graphs $C_M$ and show that these graphs are Schreier graphs of the lamplighter groups $L_k = Z/kZ \\wr Z$. This allows us to compute their spectra and to identify the infinite limit of $S_{k,M,N}$, as $N, M \\to\\infty$, with the Cayley graph of the lamplighter group $L_k$.

Rostislav Grigorchuk; Paul-Henry Leemann; Tatiana Nagnibeda

2015-02-24T23:59:59.000Z

95

Hybrid Al/SiC Composite Optics for IFE Applications W. Kowbel, MER Corp., Tucson, AZ And M. Tillack, UCSD, La Jolla, CA  

E-Print Network [OSTI]

Hybrid Al/SiC Composite Optics for IFE Applications W. Kowbel, MER Corp., Tucson, AZ And M. Tillack support of the mirror is a SiC composite. The SiC composite is chosen for the following reasons: 1) VeryC-SiC composite. Subsequently, either CVD or PVD Si is deposited as the optical quality layer. The Si coating

Tillack, Mark

96

Nuclear reactor multiphysics via bond graph formalism  

E-Print Network [OSTI]

This work proposes a simple and effective approach to modeling nuclear reactor multiphysics problems using bond graphs. Conventional multiphysics simulation paradigms normally use operator splitting, which treats the ...

Sosnovsky, Eugeny

2014-01-01T23:59:59.000Z

97

Generating Reports & Graphs in Portfolio Manager  

Broader source: Energy.gov [DOE]

This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on how to generate reports and graphs in Portfolio Manager.

98

Hamilton Decompositions of Graphs with Primitive Complements .  

E-Print Network [OSTI]

??A graph G is a pair (V, E) where V is the set of vertices(or nodes) and E is the set of edges connecting the (more)

OZKAN, SIBEL

2007-01-01T23:59:59.000Z

99

Graph algorithms in the titan toolkit.  

SciTech Connect (OSTI)

Graph algorithms are a key component in a wide variety of intelligence analysis activities. The Graph-Based Informatics for Non-Proliferation and Counter-Terrorism project addresses the critical need of making these graph algorithms accessible to Sandia analysts in a manner that is both intuitive and effective. Specifically we describe the design and implementation of an open source toolkit for doing graph analysis, informatics, and visualization that provides Sandia with novel analysis capability for non-proliferation and counter-terrorism.

McLendon, William Clarence, III; Wylie, Brian Neil

2009-10-01T23:59:59.000Z

100

Generation of graph-state streams  

E-Print Network [OSTI]

We propose a protocol to generate a stream of mobile qubits in a graph state through a single stationary parent qubit and discuss two types of its physical implementation, namely, the generation of photonic graph states through an atom-like qubit and those of flying atoms through a cavity-mode photonic qubit. The generated graph states fall into an important class that can hugely reduce the resource requirement of fault-tolerant linear optics quantum computation, which was previously known to be far from realistic. In regard to the flying atoms, we also propose a heralded generation scheme, which allows for high-fidelity graph states even under the photon loss.

Daniel Ballester; Jaeyoon Cho; M. S. Kim

2010-12-08T23:59:59.000Z

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

On Products and Line Graphs of Signed Graphs, their Eigenvalues and Energy  

E-Print Network [OSTI]

On Products and Line Graphs of Signed Graphs, their Eigenvalues and Energy K.A. Germina, Shahul and Laplacian matrices and their eigenvalues and energies of the general product (non-complete extended p- sum product and the eigenvalues and energy of the product in terms of those of the factor graphs

Zaslavsky, Thomas

102

3D Graph Visualization with the Oculus Rift Virtual Graph Reality  

E-Print Network [OSTI]

3D Graph Visualization with the Oculus Rift Virtual Graph Reality Farshad Barahimi, Stephen Wismath regarding three- dimensional (3D) representations of graphs. However, the actual usefulness of such 3D reality environment such as a CAVE, or · printed as a physical model with a 3D printer. Early studies

Wismath, Stephen

103

Graph-Theoretic Generation of Assembly Plans Part I: Correct Generation of Precedence Graphs  

E-Print Network [OSTI]

1 Graph-Theoretic Generation of Assembly Plans Part I: Correct Generation of Precedence Graphs Lehigh University Bethlehem, Pennsylvania Abstract Automatic generation and selection of assembly plans a graph-theoretic scheme for the generation of assembly plans. Our scheme involves decomposing the CSP

Wu, David

104

On the Cohen-Macaulay graphs and girth  

E-Print Network [OSTI]

In this paper we investigate the Cohen-Macaulay property of graphs versus girth. In particular, we classify Cohen-Macaulay graphs of girth at least five and planar Gorenstein graphs of girth four.

Hoang, Do Trong; Trung, Tran Nam

2012-01-01T23:59:59.000Z

105

Fuzzy Mathematics Fuzzy -Sets, -Relations, -Logic, -Graphs,  

E-Print Network [OSTI]

Fuzzy Mathematics Fuzzy -Sets, -Relations, -Logic, -Graphs, -Mappings and The Extension Principle . . . . . . . . . . . . . . . . . . 8 2 The Extension Principle 10 3 Fuzzy Graphs 16 4 Fuzzy Logic 19 Back View #12;Section 1: Fuzzy Olaf Wolkenhauer Control Systems Centre UMIST o.wolkenhauer@umist.ac.uk www

Rostock, Universität

106

Graph searching and a generalized parking function  

E-Print Network [OSTI]

introduced a new generalization, the G-multiparking function, where G is a simple graph on a totally ordered vertex set {1, 2, . . . , n}. We give an algorithm that converts a G-multiparking function into a rooted spanning forest of G by using a graph...

Kostic, Dimitrije Nenad

2009-05-15T23:59:59.000Z

107

Directed Graphs, Decompositions, and Spatial Linkages  

E-Print Network [OSTI]

The decomposition of a system of constraints into small basic components is an important tool of design and analysis. Specifically, the decomposition of a linkage into minimal components is a central tool of analysis and synthesis of linkages. In this paper we prove that every pinned 3-isostatic (minimally rigid) graph (grounded linkage) has a unique decomposition into minimal strongly connected components (in the sense of directed graphs) which we call 3-Assur graphs. This analysis extends the Assur decompositions of plane linkages previously studied in the mathematical and the mechanical engineering literature. These 3-Assur graphs are the central building blocks for all kinematic linkages in 3-space. They share a number of key combinatorial and geometric properties with the 2-Assur graphs, including an associated lower block-triangular decomposition of the pinned rigidity matrix which provides a format for extending the motion induced by inserting one driver in a bottom Assur linkage to the joints of the e...

Shai, Offer; Whiteley, Walter

2010-01-01T23:59:59.000Z

108

What Energy Functions Can Be Minimized via Graph Cuts?  

E-Print Network [OSTI]

What Energy Functions Can Be Minimized via Graph Cuts? Vladimir Kolmogorov, Member, IEEE, and Ramin been developed to solve energy minimization problems in computer vision. Each of these techniques constructs a graph such that the minimum cut on the graph also minimizes the energy. Yet, because these graph

Field, David

109

What Energy Functions can be Minimized via Graph Cuts?  

E-Print Network [OSTI]

What Energy Functions can be Minimized via Graph Cuts? Vladimir Kolmogorov and Ramin Zabih Computer. In the last few years, several new algorithms based on graph cuts have been developed to solve energy cut on the graph also minimizes the energy. Yet because these graph constructions are complex

Field, David

110

Attack Graphs for Sensor Placement, Alert Prioritization, and Attack Response  

E-Print Network [OSTI]

1 Attack Graphs for Sensor Placement, Alert Prioritization, and Attack Response Steven Noel of IDS alarms, using attack graph analysis. Our attack graphs predict the various possible ways and attacker exploits provides an attack graph showing all possible paths to critical assets. We then place IDS

Noel, Steven

111

A Note on Hamilton Cycles in Kneser Graphs Ian Shields  

E-Print Network [OSTI]

A Note on Hamilton Cycles in Kneser Graphs Ian Shields IBM P.O. Box 12195 Research Triangle Park) have Hamilton cycles when n #20; 27. A similar result is shown for bipartite Kneser graphs. 1 for Hamilton cycles in Kneser graphs, K(n; k), and bipartite Kneser graphs, H(n; k). With the exception

Savage, Carla D.

112

Gibbs Measures and Phase Transitions on Sparse Random Graphs  

E-Print Network [OSTI]

regular graphs . . . . . . . . . . . . . . 87 6.2 Hyper-loops, hypergraphs, cores and a peeling algorithm

Montanari, Annamaria

113

Discrete Applied Mathematics 121 (2002) 139153 NeST graphs  

E-Print Network [OSTI]

Discrete Applied Mathematics 121 (2002) 139­153 NeST graphs Ryan B. Haywarda; , Paul E. Kearneyb; received in revised form 14 March 2001; accepted 26 March 2001 Abstract We establish results on NeST graphs show the equivalence of proper NeST graphs and unit NeST graphs, the equivalence of ÿxed distance NeST

Hayward, Ryan B.

114

EuroComb 2005 DMTCS proc. AE, 2005, 389--396 Acyclic Coloring of Graphs of Maximum  

E-Print Network [OSTI]

for several families F of graphs such as planar graphs [Bor79], planar graphs with ``large'' girth [BKW99], 1

Fertin, Guillaume

115

Revisiting Interval Graphs for Network Science  

E-Print Network [OSTI]

The vertices of an interval graph represent intervals over a real line where overlapping intervals denote that their corresponding vertices are adjacent. This implies that the vertices are measurable by a metric and there exists a linear structure in the system. The generalization is an embedding of a graph onto a multi-dimensional Euclidean space and it was used by scientists to study the multi-relational complexity of ecology. However the research went out of fashion in the 1980s and was not revisited when Network Science recently expressed interests with multi-relational networks known as multiplexes. This paper studies interval graphs from the perspective of Network Science.

Loe, Chuan Wen

2015-01-01T23:59:59.000Z

116

A role for matrices in graph theory  

E-Print Network [OSTI]

A ROLE FOR MATRICES IN GRAPH THEORY A Thesis by John Patrick McLean Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1971 Ma]or Subject: Mathematics... A ROLE FOR MATRICES IN GRAPH THEORY A Thesis by John Patrick McLean Approved as to style and content by: (Chairman of Committee) (Head of Department) I (Member) (Member) May 1971 tp Qey $ ABSTRACT A Role for Matrices in Graph Theory...

McLean, John Patrick

1971-01-01T23:59:59.000Z

117

Determining factors behind the PageRank log-log plot Yana Volkovich  

E-Print Network [OSTI]

- tion through a stochastic equation inspired by the original definition of PageRank. Further, we use agreement with experimental data on three different sam- ples of the Web. Keywords PageRank, Power law, Recursive stochastic equations, Re- gular variation, Web graph MSC 2000 90B15, 68P10, 60J80 1. INTRODUCTION

Boucherie, Richard J.

118

From graphs to signals and back: Identification of graph structures using spectral analysis  

E-Print Network [OSTI]

Many systems comprising entities in interactions can be represented as graphs, whose structure gives significant insights about how these systems work. Network theory has undergone further developments, in particular in relation to detection of communities in graphs, to catch this structure. Recently, an approach has been proposed to transform a graph into a collection of signals: Using a multidimensional scaling technique on a distance matrix representing relations between vertices of the graph, points in a Euclidean space are obtained and interpreted as signals, indexed by the vertices. In this article, we propose several extensions to this approach, developing a framework to study graph structures using signal processing tools. We first extend the current methodology, enabling us to highlight connections between properties of signals and graph structures, such as communities, regularity or randomness, as well as combinations of those. A robust inverse transformation method is next described, taking into ac...

Hamon, Ronan; Flandrin, Patrick; Robardet, Cline

2015-01-01T23:59:59.000Z

119

Continuous-time quantum walks on star graphs  

SciTech Connect (OSTI)

In this paper, we investigate continuous-time quantum walk on star graphs. It is shown that quantum central limit theorem for a continuous-time quantum walk on star graphs for N-fold star power graph, which are invariant under the quantum component of adjacency matrix, converges to continuous-time quantum walk on K{sub 2} graphs (complete graph with two vertices) and the probability of observing walk tends to the uniform distribution.

Salimi, S. [Department of Physics, University of Kurdistan, P.O. Box 66177-15175, Sanandaj (Iran, Islamic Republic of)], E-mail: shsalimi@uok.ac.ir

2009-06-15T23:59:59.000Z

120

Bipartite graph partitioning and data clustering  

SciTech Connect (OSTI)

Many data types arising from data mining applications can be modeled as bipartite graphs, examples include terms and documents in a text corpus, customers and purchasing items in market basket analysis and reviewers and movies in a movie recommender system. In this paper, the authors propose a new data clustering method based on partitioning the underlying biopartite graph. The partition is constructed by minimizing a normalized sum of edge weights between unmatched pairs of vertices of the bipartite graph. They show that an approximate solution to the minimization problem can be obtained by computing a partial singular value decomposition (SVD) of the associated edge weight matrix of the bipartite graph. They point out the connection of their clustering algorithm to correspondence analysis used in multivariate analysis. They also briefly discuss the issue of assigning data objects to multiple clusters. In the experimental results, they apply their clustering algorithm to the problem of document clustering to illustrate its effectiveness and efficiency.

Zha, Hongyuan; He, Xiaofeng; Ding, Chris; Gu, Ming; Simon, Horst D.

2001-05-07T23:59:59.000Z

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

The Minimum Rank Problem for Outerplanar Graphs.  

E-Print Network [OSTI]

??Given a simple graph G with vertex set V(G)={1,2,...,n} define S(G) to be the set of all real symmetric matrices A such that for all (more)

Sinkovic, John Henry

2013-01-01T23:59:59.000Z

122

Minimum rank of graphs that allow loops.  

E-Print Network [OSTI]

??The traditional "minimum rank problem" for simple graphs associates a set of symmetric matrices, the zero-nonzero pattern of whose off-diagonal entries are described by the (more)

Mikkelson, Rana C.

2008-01-01T23:59:59.000Z

123

On semidefinite programming bounds for graph bandwidth  

E-Print Network [OSTI]

May 24, 2011 ... We propose two new lower bounds on graph bandwidth and cyclic ... matrix computations, parallel computations, VLSI layout, etc; see, for example [19]. ...... problems by SeDuMi [30] using the Yalmip interface [22] with Matlab.

2011-05-24T23:59:59.000Z

124

Graph Implementations for Nonsmooth Convex Programs  

E-Print Network [OSTI]

Summary. We describe graph implementations, a generic method for represent- ... object-oriented features of Matlab to turn it into an optimization modeling language: ..... For matrix and array expressions, these rules are applied on an elemen-.

2007-09-07T23:59:59.000Z

125

Forced orientation of graphs Babak Farzad  

E-Print Network [OSTI]

Forced orientation of graphs Babak Farzad Mohammad Mahdian Ebad S. Mahmoodian Amin Saberi Bardia, USA. (saberi@cc.gatech.edu) Department of Computer Science, UIUC, Urbana, USA. (sadri@cs.uiuc.edu) 1

Toronto, University of

126

Hamilton Paths in Generalized Petersen Graphs.  

E-Print Network [OSTI]

??This thesis puts forward the conjecture that for n > 3k with k > 2, the generalized Petersen graph, GP(n,k) is Hamilton-laceable if n is (more)

Pensaert, William

2006-01-01T23:59:59.000Z

127

Graph Summarization with Bounded Error Saket Navlakha  

E-Print Network [OSTI]

of Maryland College Park, MD, USA-20742 saket@cs.umd.edu Rajeev Rastogi Yahoo! Labs Bangalore, India rrastogi@yahoo-inc Graphs are a fundamental abstraction that have been em- ployed for centuries to model real-world systems

Gruner, Daniel S.

128

Accelerating semantic graph databases on commodity clusters  

SciTech Connect (OSTI)

We are developing a full software system for accelerating semantic graph databases on commodity cluster that scales to hundreds of nodes while maintaining constant query throughput. Our framework comprises a SPARQL to C++ compiler, a library of parallel graph methods and a custom multithreaded runtime layer, which provides a Partitioned Global Address Space (PGAS) programming model with fork/join parallelism and automatic load balancing over a commodity clusters. We present preliminary results for the compiler and for the runtime.

Morari, Alessandro; Castellana, Vito G.; Haglin, David J.; Feo, John T.; Weaver, Jesse R.; Tumeo, Antonino; Villa, Oreste

2013-10-06T23:59:59.000Z

129

2Cosmic Bar Graphs Galaxy Type  

E-Print Network [OSTI]

in the cluster are spirals? Problem 2 ­ Gamma-ray bursts happen about once each day. The bar graph to the right there are 160 total galaxies, the fraction of spirals is 137/160 = 0.86, or equivalently 86%. Problem 2 ­ Gamma-ray2Cosmic Bar Graphs 0 20 40 60 80 100 S E SB I Galaxy Type Number 0 200 400 600 800 1000 FB SB Burst

130

Graph representation of protein free energy landscape  

SciTech Connect (OSTI)

The thermodynamics and kinetics of protein folding and protein conformational changes are governed by the underlying free energy landscape. However, the multidimensional nature of the free energy landscape makes it difficult to describe. We propose to use a weighted-graph approach to depict the free energy landscape with the nodes on the graph representing the conformational states and the edge weights reflecting the free energy barriers between the states. Our graph is constructed from a molecular dynamics trajectory and does not involve projecting the multi-dimensional free energy landscape onto a low-dimensional space defined by a few order parameters. The calculation of free energy barriers was based on transition-path theory using the MSMBuilder2 package. We compare our graph with the widely used transition disconnectivity graph (TRDG) which is constructed from the same trajectory and show that our approach gives more accurate description of the free energy landscape than the TRDG approach even though the latter can be organized into a simple tree representation. The weighted-graph is a general approach and can be used on any complex system.

Li, Minghai; Duan, Mojie; Fan, Jue; Huo, Shuanghong, E-mail: shuo@clarku.edu [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States); Han, Li [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)

2013-11-14T23:59:59.000Z

131

APPENDIX F, Page F1  

E-Print Network [OSTI]

;Page F16 #12;Page F17 #12;Page F18 #12;Page F19 #12;Page F20 #12;Page F21 #12;Page F22 #12;Page F23 #12

Omiecinski, Curtis

132

MadGraph 5 : Going Beyond  

E-Print Network [OSTI]

MadGraph 5 is the new version of the MadGraph matrix element generator, written in the Python programming language. It implements a number of new, efficient algorithms that provide improved performance and functionality in all aspects of the program. It features a new user interface, several new output formats including C++ process libraries for Pythia 8, and full compatibility with FeynRules for new physics models implementation, allowing for event generation for any model that can be written in the form of a Lagrangian. MadGraph 5 builds on the same philosophy as the previous versions, and its design allows it to be used as a collaborative platform where theoretical, phenomenological and simulation projects can be developed and then distributed to the high-energy community. We describe the ideas and the most important developments of the code and illustrate its capabilities through a few simple phenomenological examples.

Johan Alwall; Michel Herquet; Fabio Maltoni; Olivier Mattelaer; Tim Stelzer

2011-06-02T23:59:59.000Z

133

Streaming Graph Computations with a Helpful Advisor  

E-Print Network [OSTI]

Motivated by the trend to outsource work to commercial cloud computing services, we consider a variation of the streaming paradigm where a streaming algorithm can be assisted by a powerful helper that can provide annotations to the data stream. We extend previous work on such {\\em annotation models} by considering a number of graph streaming problems. Without annotations, streaming algorithms for graph problems generally require significant memory; we show that for many standard problems, including all graph problems that can be expressed with totally unimodular integer programming formulations, only a constant number of hash values are needed for single-pass algorithms given linear-sized annotations. We also obtain a protocol achieving \\textit{optimal} tradeoffs between annotation length and memory usage for matrix-vector multiplication; this result contributes to a trend of recent research on numerical linear algebra in streaming models.

Cormode, Graham; Thaler, Justin

2010-01-01T23:59:59.000Z

134

Circuit and bond polytopes on series-parallel graphs$  

E-Print Network [OSTI]

Jul 10, 2014 ... M0 = IS, for some star decomposition S of G, and Mi?Ni is a cut of G, for i = 1,..., k. 2. Circuit polytope on series-parallel graphs. Given a graph G...

2014-07-10T23:59:59.000Z

135

An efficient semidefinite programming relaxation for the graph ...  

E-Print Network [OSTI]

The general graph partition problem (GPP) is defined as follows. Let G = (V ... We denote by A the adjacency matrix of G. For a given partition of the graph into k.

2012-08-28T23:59:59.000Z

136

Generating Random Graphs with Large Girth Mohsen Bayati  

E-Print Network [OSTI]

Generating Random Graphs with Large Girth Mohsen Bayati Andrea Montanari Amin Saberi Abstract We; saberi@stanford.edu. 1 #12;free graphs are close to bipartite. We show that our new algorithm guarantees

Saberi, Amin

137

GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool  

E-Print Network [OSTI]

Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is ...

Williams, Leevar (Leevar Christoff)

2008-01-01T23:59:59.000Z

138

Codes on Graphs: Duality and MacWilliams Identities  

E-Print Network [OSTI]

A conceptual framework involving partition functions of normal factor graphs is introduced, paralleling a similar recent development by Al-Bashabsheh and Mao. The partition functions of dual normal factor graphs are shown ...

Forney, G. David, Jr.

139

Scalable Parallel Algorithms for Massive Scale-free Graphs  

E-Print Network [OSTI]

Efficiently storing and processing massive graph data sets is a challenging problem as researchers seek to leverage Big Data to answer next-generation scientific questions. New techniques are required to process large scale-free graphs in shared...

Pearce, Roger Allan

2013-12-05T23:59:59.000Z

140

Math 564 Graph Theory Fall 2008 Instructor Amites Sarkar  

E-Print Network [OSTI]

Math 564 Graph Theory Fall 2008 Instructor Amites Sarkar Text Pearls in Graph Theory (Dover Edition and Fridays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar@wwu.edu #12;

Sarkar, Amites

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Math 564 Graph Theory Fall 2013 Instructor Amites Sarkar  

E-Print Network [OSTI]

Math 564 Graph Theory Fall 2013 Instructor Amites Sarkar Text Modern Graph Theory B´ela Bollob, Tuesdays, Wednesdays and Fridays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar

Sarkar, Amites

142

Reformulation of a model for hierarchical divisive graph modularity ...  

E-Print Network [OSTI]

Agarwal, G., & Kempe, D. (2008). Modularity-maximizing graph communities via mathematical program- ming. The European Physical Journal B - Condensed...

2012-01-31T23:59:59.000Z

143

Problems of Distance-Regular Graphs Hiroshi Suzuki  

E-Print Network [OSTI]

. Biggs, Algebraic Graph Theory Second Edition, Cambridge U. P., Cambridge 1993. [16] N. L. Biggs, A. G

Xi, Changchang

144

Bose-Einstein condensation on quantum graphs  

E-Print Network [OSTI]

We present results on Bose-Einstein condensation (BEC) on general compact quantum graphs, i.e., one-dimensional systems with a (potentially) complex topology. We first investigate non-interacting many-particle systems and provide a complete classification of systems that exhibit condensation. We then consider models with interactions that consist of a singular part as well as a hardcore part. In this way we obtain generalisations of the Tonks-Girardeau gas to graphs. For this we find an absence of phase transitions which then indicates an absence of BEC.

Jens Bolte; Joachim Kerner

2014-03-02T23:59:59.000Z

145

Pages 38-87 of Penney  

E-Print Network [OSTI]

On a single sheet of graph paper, graph y ~ :1: : 1, y + a; : 1, and y ... Note: When entering matrices into MATLAB, one can use semicolons. (;) to separate...

146

Hiroshi Ishikawa A Practical Introduction to Graph Cut  

E-Print Network [OSTI]

Technology Contents Overview / Brief history Energy minimization Graphs and their minimum cuts Energy Elevation map #12;History Probablistic methods (SA, ICM,...) have been used for energy minimization OR has Overview / Brief history Energy minimization Graphs and their minimum cuts Energy minimization via graph

Ishikawa, Hiroshi

147

Hamiltonian Cycles on Symmetrical Graphs Carlo H. Squin  

E-Print Network [OSTI]

Hamiltonian Cycles on Symmetrical Graphs Carlo H. Séquin Computer Science Division, EECS Department-connected symmetrical graphs are colored so that they form Hamiltonian cycles. As an introduction we discuss is to color all edges in these graphs with multi- ple congruent copies of Hamiltonian cycles exhibiting

O'Brien, James F.

148

Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs  

E-Print Network [OSTI]

1 Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs Steven Noel and Sushil optimally place intrusion detection system (IDS) sensors and prioritize IDS alerts using attack graph. The set of all such paths through the network constitutes an attack graph, which we aggregate according

Noel, Steven

149

Improving Attack Graph Visualization through Data Reduction and Attack Grouping  

E-Print Network [OSTI]

Improving Attack Graph Visualization through Data Reduction and Attack Grouping John Homer1 Laboratory, USA Abstract. Various tools exist to analyze enterprise network systems and to produce attack graphs detailing how attackers might penetrate into the system. These attack graphs, however, are often

Ou, Xinming "Simon"

150

Compatible Hamilton cycles in Dirac graphs Michael Krivelevich  

E-Print Network [OSTI]

Compatible Hamilton cycles in Dirac graphs Michael Krivelevich Choongbum Lee Benny Sudakov system F over a Dirac graph G, there exists a Hamilton cycle compatible with F. This settles in a very strong form, a conjecture of H¨aggkvist from 1988. 1 Introduction A Hamilton cycle in a graph G

Krivelevich, Michael

151

Infinite Hamilton Cycles in Squares of Locally Finite Graphs  

E-Print Network [OSTI]

Infinite Hamilton Cycles in Squares of Locally Finite Graphs Agelos Georgakopoulos Abstract We prove Diestel's conjecture that the square G2 of a 2-connected locally finite graph G has a Hamilton if and only if they have distance at most n in G. A Hamilton cycle in a graph is a cycle containing all its

Diestel, Reinhard

152

Robust Self-assembly of Graphs Stanislav Angelov1  

E-Print Network [OSTI]

Robust Self-assembly of Graphs Stanislav Angelov1 , Sanjeev Khanna2 , and Mirk´o Visontai3 1 Google, University of Pennsylvania Philadelphia, PA 19104, USA mirko@math.upenn.edu Abstract. Self-assembly studied model of self-assembly is the Accretive Graph Assembly Model whereby an edge-weighted graph

Pennsylvania, University of

153

Simultaneous Segmentation and Filtering via Reduced Graph Cuts  

E-Print Network [OSTI]

provides small graphs while preserving thin structures but do not offer low memory usage when the amount [7,4,13]. In [7], binary energy functions are minimized for the shape fitting problem with graph cutsSimultaneous Segmentation and Filtering via Reduced Graph Cuts N. Lermé F. Malgouyres LAGA UMR CNRS

Malgouyres, François

154

Cellular Algebras and Graph Invariants Based on Quantum Walks  

E-Print Network [OSTI]

We consider two graph invariants inspired by quantum walks- one in continuous time and one in discrete time. We will associate a matrix algebra called a cellular algebra with every graph. We show that, if the cellular algebras of two graphs have a similar structure, then they are not distinguished by either of the proposed invariants.

Jamie Smith

2011-03-01T23:59:59.000Z

155

Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1  

E-Print Network [OSTI]

Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1 , Lawrence B. Holder2 , and Diane J@eecs.wsu.edu Abstract We describe an algorithm and experiments for inference of edge replacement graph grammars for inference of Node Replacement Recursive Graph Grammars [7]. In this paper we describe an approach

Holder, Lawrence B.

156

Bicycles and Left-Right Tours in Locally Finite Graphs  

E-Print Network [OSTI]

Bicycles and Left-Right Tours in Locally Finite Graphs von Melanie Win Myint, M. S. Dem Department-Right Tours 29 6 LRTs Generate the Bicycle Space 43 7 The ABL Planarity Criterion 53 8 Pedestrian Graphs 69 bicycles and some other concepts they relate to, such as left- right tours and pedestrian graphs

Diestel, Reinhard

157

Dominating Set on Bipartite Graphs Mathieu Liedloff  

E-Print Network [OSTI]

.5263n ) time algorithm using polynomial space and an O(1.5137n ) time algorithm using exponential space ) time and polynomial space algorithm, and an O(1.5063n ) time algorithm that uses exponential space. We]). Known results. Given a graph G = (V, E), a subset D V is a dominating set of G if every vertex of V

Liedloff, Mathieu

158

Optimizing Path Query Performance: Graph Clustering Strategies  

E-Print Network [OSTI]

ywh@us.ibm.com Ning Jingz Changsha Institute of Technology jning@eecs.umich.edu Elke A. Rundensteinerx not incur any run-time cost, requires no auxiliary data structures, and is complimentary to many of the performance of these graph clustering techniques using an actual city road network as well as randomly

159

Graph-Theoretic Scagnostics Leland Wilkinson  

E-Print Network [OSTI]

Tukey and Tukey scagnostics and develop graph- theoretic methods for implementing their procedure, statistical graphics 1 INTRODUCTION Around 20 years ago, John and Paul Tukey developed an ex- ploratory of the method were never published. Paul Tukey did offer more detail at an IMA visualization workshop a few

Grossman, Robert

160

Graph Grammars for Self Assembling Robotic Systems  

E-Print Network [OSTI]

Graph Grammars for Self Assembling Robotic Systems Eric Klavins Electrical Engineering University numbers of objects so that they perform some global task. Nevertheless, there are examples of sophisticated machines, such as the ribosome or the mechanical motor in the bacterial flagellum, that seem

Ghrist, Robert W.

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

NEST REPRESENTATIONS OF DIRECTED GRAPH ALGEBRAS  

E-Print Network [OSTI]

NEST REPRESENTATIONS OF DIRECTED GRAPH ALGEBRAS KENNETH R. DAVIDSON AND ELIAS KATSOULIS Abstract. This paper is a comprehensive study of the nest rep- resentations for the free semigroupoid algebra LG that the finite dimensional nest representations sep- arate the points in LG, and a fortiori, in T + (G

Katsoulis, Elias G.

162

The Web Graph of a Tourism System  

E-Print Network [OSTI]

The website network of a tourism destination is examined. The main statistical characteristics of the underlying graph are calculated. The topology of the network is similar to the one characterizing similar systems. However, some differences are found, mainly due to the relatively poor connectivity among the vertices of the network.

Baggio, R

2006-01-01T23:59:59.000Z

163

Flexible Layered Authentication Graph for Multimedia Streaming  

E-Print Network [OSTI]

With the increasing demand on multimedia streaming in more and more applications, security issues such as integrity side, lost packets are dropped from the graph and a packet is verifiable if it has a path and all subsequent packets become not verifiable. EMSS [4] makes a great improvement by building multiple

Sun, Qibin

164

Lessons 6 Graphs of Functional Models  

E-Print Network [OSTI]

Aug 30, 2013 ... One of the problems (#1) illustrates the principle of supply and demand, ... All of the problems involve building up a function model (see Lesson 5) ... Granite Management rents out several apartment complexes in the .... Side. 0.001 per cm2. Bottom. 0.005 per cm2. Lessons 6 Graphs of Functional Models.

2013-08-30T23:59:59.000Z

165

Line graphs e contrazioni: un approccio rigoroso alla space syntax  

E-Print Network [OSTI]

The methods of the space syntax have been the subject of extensive discussion, and several techniques to identify the axis lines have been proposed. The space syntax can be represented in terms of line graph, a graphs defined on the edge of a given primary graph. By means of the line graph algorithms, a system of labels defined on the edges of the primary graph is transformed into a system of labels on the vertices of the line graph. The contraction of adjacent edges with the same label allows to build a more general graph than those generated with the methods of the space syntax. By means of the functions implemented in Mathematica is therefore possible to redefine the space syntax on any system of urban quantities (labels) and reproduce the results of the axial lines as a special case. As an example is discussed a possible application of the method to the urban noise analysis.

D'Autilia, Roberto

2015-01-01T23:59:59.000Z

166

Page 1 of 1  

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167

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Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3of Page

168

Data-flow graphs as a model of parallel complexity  

SciTech Connect (OSTI)

A new model of parallel computation based on data-flow graphs is introduced, which is specifically oriented towards complexity theory. Data-flow graphs are capable of illustrating properties of synchronous, asynchronous, and nondeterministic computations. Sufficient conditions are derived for asynchronous data-flow graphs to be determinate, i.e., all possible computations are finite and yield the same result. For determinate graphs, it is shown that the synchronous computation is as fast as any asynchronous computation. An algorithm is presented that transforms a nondeterminate data-flow graphs into a synchronous determinate one. The basic data-flow graph idea is extended into a model with greater potential parallelism, called the Uniform Data Flow Graph Family (UDFGF) Model. It is proved that time and space for the UDFGF model are polynomially related to reversal and space for the Turing Machine model, in both the deterministic and nondeterministic cases. In addition to forming an abstract computational model, data-flow graphs are parallel programs for real multiprocessors. Given a data flow graph program and a multiprocessor, each node of the graph must be assigned to one of the processors. It is proved that this problem is intractable, and a practical algorithm to find approximate solutions for it is presented.

Campbell, M.L.

1987-01-01T23:59:59.000Z

169

Nuclear Energy Page 570Page 570  

E-Print Network [OSTI]

Nuclear Energy Page 570Page 570 #12;Energy Supply and Conservation/ Nuclear Energy FY 2007;Energy Supply and Conservation/Nuclear Energy/ Overview FY 2007 Congressional Budget Energy Supply and Conservation Office of Nuclear Energy, Science and Technology Overview Appropriation Summary by Program

170

Statistical Properties of Quantum Graph Spectra  

E-Print Network [OSTI]

A general analytical approach to the statistical description of quantum graph spectra based on the exact periodic orbit expansions of quantum levels is discussed. The exact and approximate expressions obtained in \\cite{Anima} for the probability distribution functions using the spectral hierarchy method are analyzed. In addition, the mechanism of appearance of the universal statistical properties of spectral fluctuations of quantum-chaotic systems is considered in terms of the semiclassical theory of periodic orbits.

Yu. Dabaghian

2006-08-09T23:59:59.000Z

171

OpenEI Community - Visualization Graph  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth'sOklahoma/Geothermal < Oklahomast, 2012Coast Utilities prepare

172

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Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3of

173

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Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3ofF AL

174

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Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3ofF

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Page 1 of 2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final rule3ofFa

176

Page 1 of 2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This final

177

Page 1 of 2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This finalFAL 2004-01

178

Page 1 of 2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This finalFAL

179

Page 1 of 2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This finalFALFor

180

Page 1 of 2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This finalFALForThe

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Page 1 of 3  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This finalFALForTheThis

182

Page 1 of2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page This

183

Page 1 of2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page Thisnew product, the

184

Page 1 of2  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652 Srivastava,Pacific1of Page Thisnew product,

185

NewPage Corporation  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F S iPartnership Program |Million DOEYellow SchoolNewNewNewPage

186

1. CONTRACT ID CODE PAGE OF PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-on halloweenReliable solar: poweringHDHP Questions:

187

k-Boson Quantum Walks Do Not Distinguish Arbitrary Graphs  

E-Print Network [OSTI]

In this paper, we define k-equivalence, a relation on graphs that relies on their associated cellular algebras. We show that a k-Boson quantum walk cannot distinguish pairs of graphs that are k- equivalent. The existence of pairs of k-equivalent graphs has been shown by Ponomarenko et al. [2, 6]. This gives a negative answer to a question posed by Gamble et al. [7].

Jamie Smith

2010-04-01T23:59:59.000Z

188

Dynamics of entanglement of bosonic modes on symmetric graphs  

E-Print Network [OSTI]

We investigate the dynamics of an initially disentangled Gaussian state on a general finite symmetric graph. As concrete examples we obtain properties of this dynamics on mean field graphs of arbitrary sizes. In the same way that chains can be used for transmitting entanglement by their natural dynamics, these graphs can be used to store entanglement. We also consider two kinds of regular polyhedron which show interesting features of entanglement sharing.

F. Ghahhari; V. Karimipour; R. Shahrokhshahi

2006-11-23T23:59:59.000Z

189

Independent set problems and odd-hole-preserving graph reductions  

E-Print Network [OSTI]

to provide a polynomial-time reduction in the size of the input required to decide the perfection or imperfection of a graph....

Warren, Jeffrey Scott

2009-05-15T23:59:59.000Z

190

Computing the stability number of a graph via linear and ...  

E-Print Network [OSTI]

Throughout the paper A(G) ? Sn will denote the adjacency matrix of the graph G, that is, the (i, ..... Some matlab code that constructs the relevant semidefi-.

2006-04-27T23:59:59.000Z

191

Generating Random Graphs with Large Girth Mohsen Bayati  

E-Print Network [OSTI]

Generating Random Graphs with Large Girth Mohsen Bayati Andrea Montanari Amin Saberi Abstract We for Computational and Mathematical Engineering, Stanford University; saberi@stanford.edu. knowledge

Montanari, Annamaria

192

A notable family of entire intrinsic minimal graph...  

E-Print Network [OSTI]

to C1(O). This notion of C2 surface obviously includes the entire intrinsic graphs ...... F. Serra Cassano, Surface measures in Carnot-Carathodory spaces, Calc.

2006-09-09T23:59:59.000Z

193

Page | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(UtilityCounty,Orleans County,PPP EquipmentPartners LLC5 Climate Zone

194

Graphs are among the most important abstract data structures in computer sci-ence, and the algorithms that operate on them are critical to modern life. Graphs  

E-Print Network [OSTI]

description that assumes a sparse matrix representation of the graph, and operates on that matrix with linear environments (e.g., Matlab ). (2) Ease of implementation. Parallel graph algorithms are notoriously difficult computation of graph algorithms. (3) Performance. Graph algorithms expressed by a series of sparse matrix

Kepner, Jeremy

195

Page 1 of  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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196

Page 11, Links  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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197

Page 8, Benefit Forms  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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198

21 briefing pages total  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment(October-December 2013Lamps;5 Federal Energy14 Federalof50Number2030

199

Palm Physics Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizingToolsto control intensePage Not Found PagePalm

200

Algorithms to Compute Minimum Cycle Basis in Directed Graphs #  

E-Print Network [OSTI]

, . . . ,C d whose incidence vectors permit a unique linear combination of the incidence vector of any cycleAlgorithms to Compute Minimum Cycle Basis in Directed Graphs # Telikepalli Kavitha + Kurt Mehlhorn # Abstract We consider the problem of computing a minimum cycle basis in a di­ rected graph G with m arcs

Mehlhorn, Kurt

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Deciding Timed Bisimulation for Timed Automata Using Zone Valuation Graph  

E-Print Network [OSTI]

Deciding Timed Bisimulation for Timed Automata Using Zone Valuation Graph Shibashis Guha, Chinmay was first proved to be decidable for timed automata by Cerans using a product construction method on region graph. Several other methods have been proposed in the literature since then for decid- ing timed

Prasad, Sanjiva

202

Semidefinite programming and eigenvalue bounds for the graph ...  

E-Print Network [OSTI]

The graph partition problem is the problem of partitioning the vertex set of a graph ... In this paper we simplify a known matrix-lifting semidefinite ...... [44] Sturm, J.F.: Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones.

2013-11-26T23:59:59.000Z

203

ADAGE: A software package for analyzing graph evolution  

E-Print Network [OSTI]

graph evolution. 2.2 Using ADAGE 2.2.1 Installation ADAGE was built for use on MATLAB 2007 version. In this case input is a string. If the MATLAB matrix has already been saved, simply run > input = loadADAGE: A software package for analyzing graph evolution Mary McGlohon, Christos Faloutsos May 2007

204

MATLAB Tutorial Getting Started with Calculations, Graphing and Programming  

E-Print Network [OSTI]

MATLAB Tutorial Getting Started with Calculations, Graphing and Programming Nicholas R. Kirchner UI 2 Calculations with MATLAB Standard Calculations and Variables Matrices and Vectors 3 Graphing NRK;Matrices and Vectors, Definitions MATLAB is short for MATrix LABoratory. It was built for high-speed matrix

Weinberger, Hans

205

Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices  

E-Print Network [OSTI]

Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices Steven Noel}@gmu.edu Abstract We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show attacker reachability across

Noel, Steven

206

Improving Attack Graph Visualization through Data Reduction and Attack Grouping  

SciTech Connect (OSTI)

Various tools exist to analyze enterprise network systems and to produce attack graphs detailing how attackers might penetrate into the system. These attack graphs, however, are often complex and difficult to comprehend fully, and a human user may find it problematic to reach appropriate configuration decisions. This paper presents methodologies that can 1) automatically identify portions of an attack graph that do not help a user to understand the core security problems and so can be trimmed, and 2) automatically group similar attack steps as virtual nodes in a model of the network topology, to immediately increase the understandability of the data. We believe both methods are important steps toward improving visualization of attack graphs to make them more useful in configuration management for large enterprise networks. We implemented our methods using one of the existing attack-graph toolkits. Initial experimentation shows that the proposed approaches can 1) significantly reduce the complexity of attack graphs by trimming a large portion of the graph that is not needed for a user to understand the security problem, and 2) significantly increase the accessibility and understandability of the data presented in the attack graph by clearly showing, within a generated visualization of the network topology, the number and type of potential attacks to which each host is exposed.

John Homer; Ashok Varikuti; Xinming Ou; Miles A. McQueen

2008-09-01T23:59:59.000Z

207

Scaling Semantic Graph Databases in Size and Performance  

SciTech Connect (OSTI)

In this paper we present SGEM, a full software system for accelerating large-scale semantic graph databases on commodity clusters. Unlike current approaches, SGEM addresses semantic graph databases by only employing graph methods at all the levels of the stack. On one hand, this allows exploiting the space efficiency of graph data structures and the inherent parallelism of graph algorithms. These features adapt well to the increasing system memory and core counts of modern commodity clusters. On the other hand, however, these systems are optimized for regular computation and batched data transfers, while graph methods usually are irregular and generate fine-grained data accesses with poor spatial and temporal locality. Our framework comprises a SPARQL to data parallel C compiler, a library of parallel graph methods and a custom, multithreaded runtime system. We introduce our stack, motivate its advantages with respect to other solutions and show how we solved the challenges posed by irregular behaviors. We present the result of our software stack on the Berlin SPARQL benchmarks with datasets up to 10 billion triples (a triple corresponds to a graph edge), demonstrating scaling in dataset size and in performance as more nodes are added to the cluster.

Morari, Alessandro; Castellana, Vito G.; Villa, Oreste; Tumeo, Antonino; Weaver, Jesse R.; Haglin, David J.; Choudhury, Sutanay; Feo, John T.

2014-08-06T23:59:59.000Z

208

A Surface Reconstruction Method Using Global Graph Cut Optimization  

E-Print Network [OSTI]

SAR (China) 1 sparis@csail.mit.edu -- Sylvain Paris has worked on this project during his PhD at ARTIS calibrated images mainly has been approached using local methods, either as a continuous optimization problem of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras, discontinuities

Paris, Sylvain

209

A Surface Reconstruction Method Using Global Graph Cut Optimization  

E-Print Network [OSTI]

SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS calibrated images mainly has been approached using local methods, either as a continuous optimization problem of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras, discontinuities

Paris, Sylvain

210

A Surface Reconstruction Method Using Global Graph Cut Optimization  

E-Print Network [OSTI]

SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS reconstruction from multiple calibrated images mainly has been approached using local methods, either to 1/10th of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras

Paris-Sud XI, Université de

211

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs  

E-Print Network [OSTI]

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs Jinwoo Kim, Tae-ho Shin than the previous approaches. Keywords-Mapping, buffer size minimization, SDF graph, dynamic scheduling a model-based approach based on SDF (synchronous data flow) model. Since the parallelism of an application

Ha, Soonhoi

212

Synthesis of Parallel Hardware Implementations from Synchronous Dataflow Graph Specifications  

E-Print Network [OSTI]

of automated register­transfer level (RTL) VHDL code generation from synchronous dataflow (SDF) graph for mapping applications specified in SDF to parallel digital hardware implementations. Two styles synthesis from SDF graphs is presented. In order to minimize cost while meeting performance require­ ments

213

Including Blind Students in Computer Science Through Access to Graphs  

E-Print Network [OSTI]

Including Blind Students in Computer Science Through Access to Graphs Suzanne Balik, Sean Mealin SKetching tool, GSK, to provide blind and sighted people with a means to create, examine, and share graphs (node-link diagrams) in real-time. GSK proved very effective for one blind computer science student

Young, R. Michael

214

Video Denoising and Simplification Via Discrete Regularization on Graphs  

E-Print Network [OSTI]

Video Denoising and Simplification Via Discrete Regularization on Graphs Mahmoud Ghoniem, Youssef algorithms for video de- noising and simplification based on discrete regularization on graphs. The main difference between video and image denoising is the temporal redundancy in video sequences. Recent works

Paris-Sud XI, Universit de

215

VIDEO SUMMARIZATION BY VIDEO STRUCTURE ANALYSIS AND GRAPH OPTIMIZATION  

E-Print Network [OSTI]

VIDEO SUMMARIZATION BY VIDEO STRUCTURE ANALYSIS AND GRAPH OPTIMIZATION Shi Lu, Irwin King video summarization method that combines video structure analysis and graph optimiza- tion. First, we analyze the structure of the video, find the boundaries of video scenes, then we calculate each scene

King, Kuo Chin Irwin

216

Groups generated by bounded automata and their schreier graphs  

E-Print Network [OSTI]

that the Schreier graphs on levels of automaton groups can be constructed by an iterative procedure of inflation of graphs. This was used to associate a piecewise linear map of the form fK(v) = minA?KAv, where K is a finite set of nonnegative matrices, with every...

Bondarenko, Ievgen

2009-05-15T23:59:59.000Z

217

Bicyclic graphs with exactly two main signless Laplacian eigenvalues  

E-Print Network [OSTI]

A signless Laplacian eigenvalue of a graph $G$ is called a main signless Laplacian eigenvalue if it has an eigenvector the sum of whose entries is not equal to zero. In this paper, all connected bicyclic graphs with exactly two main eigenvalues are determined.

Huang, He

2012-01-01T23:59:59.000Z

218

Motorcycle Graphs and Straight Skeletons Siu-Wing Cheng  

E-Print Network [OSTI]

Motorcycle Graphs and Straight Skeletons Siu-Wing Cheng Antoine Vigneron March 17, 2005 Abstract We present a new algorithm to compute motorcycle graphs. It runs in O(n n log n) time when n is the number of motorcycles. We give a new characterization of the straight skeleton of a non

Vigneron, Antoine

219

On bounding the bandwidth of graphs with symmetry - Optimization ...  

E-Print Network [OSTI]

Hamming graph H(2,q) (also known as the lattice graph) has bandwidth equal to. (q+1)q. 2. ?1 .... 59. 10 3 120. 72. 75. 76. 90. Table 9: Bounds on the bandwidth of K(v,2) and K(v,3). v d meig .... Freeman, San Francisco, 1979. [19] Graham, A.

2013-08-08T23:59:59.000Z

220

About / FAQ | DOE PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUCProductstwrmrAre the Effects of GlobalASCRAbigail Ferrieri

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

M&Ms4Graphs: Multi-scale, Multi-dimensional Graph Analytics Tools for Cyber-Security  

E-Print Network [OSTI]

ranging from micro- (host level) to macro-scale (enterprise level). Achievements · Major release of Graph Library - Exhibit at GraphLab Conference, July 2014 · Selected publications 1. "Towards A Networks-of-Networks of Machine Learning Research, 2014. Rendering of Network Traffic Data Showing Communication between IP

222

Changyou Wang's Home Page  

E-Print Network [OSTI]

Partial Differential Equations; Calculus of Variations; Geometrical Analysis; Application of ... 2008, article ID rnm163, 23 pages (with O. Savin, Y. Yu). pdf file .

223

Energy Efficiency -- Home Page  

U.S. Energy Information Administration (EIA) Indexed Site

If you are having trouble, call 202-586-8800 for help. Home >Energy Users EEnergy Efficiency Page Energy-Efficiency Measurement MEASUREMENT DISCUSSION: Measures and Policy Issues...

224

Graphs from Volume 1 Book 2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFun with Big Sky LearningGetGraphene's 3D Counterpart Print1, 2009 We want

225

Well performance graph simplifies field calculations  

SciTech Connect (OSTI)

Graphic Methods are widely employed in order to understand overall well behavior using only surface parameters. The authors propose a new graphic method, used successfully by Agip for oil and gas wells in Italy, Libya, Nigeria and Tunisia. The well performance graph helps solve many production problems, including estimation of: inflow performance relationship; causes of rate decline throughout well life; and production rate and bottomhole flowing pressure for various pressures upstream of the surface choke, and vice-versa. This method differs from others by using flow behavior through the choke for both critical and subcritical conditions. Equations describing flow through the formation, string and surface choke are also used. Results are quite reliable when these theoretical equations are calibrated with field data, either from the well concerned or from nearby wells producing the same fluid. This article describes the technique as it applies to oil wells. The methodology for gas wells is similar.

De Ghetto, G.

1987-05-01T23:59:59.000Z

226

Community detection in directed acyclic graphs  

E-Print Network [OSTI]

Some temporal networks, most notably citation networks, are naturally represented as directed acyclic graphs (DAGs). To detect communities in DAGs, we propose a modularity for DAGs by defining an appropriate null model (i.e., randomized network) respecting the order of nodes. We implement a spectral method to approximately maximize the proposed modularity measure and test the method on citation networks and other DAGs. We find that the attained values of the modularity for DAGs are similar for partitions that we obtain by maximizing the proposed modularity (designed for DAGs), the modularity for undirected networks and that for general directed networks. In other words, if we neglect the order imposed on nodes (and the direction of links) in a given DAG and maximize the conventional modularity measure, the obtained partition is close to the optimal one in the sense of the modularity for DAGs.

Speidel, Leo; Masuda, Naoki

2015-01-01T23:59:59.000Z

227

Efficient broadcast on random geometric graphs  

SciTech Connect (OSTI)

A Randon Geometric Graph (RGG) is constructed by distributing n nodes uniformly at random in the unit square and connecting two nodes if their Euclidean distance is at most r, for some prescribed r. They analyze the following randomized broadcast algorithm on RGGs. At the beginning, there is only one informed node. Then in each round, each informed node chooses a neighbor uniformly at random and informs it. They prove that this algorithm informs every node in the largest component of a RGG in {Omicron}({radical}n/r) rounds with high probability. This holds for any value of r larger than the critical value for the emergence of a giant component. In particular, the result implies that the diameter of the giant component is {Theta}({radical}n/r).

Bradonjic, Milan [Los Alamos National Laboratory; Elsasser, Robert [UNIV OF PADERBORN; Friedrich, Tobias [INTERNATIONAL COMPUTER SCI.; Sauerwald, Thomas [INTERNATIONAL COMPUTER SCI.

2009-01-01T23:59:59.000Z

228

Bicyclic graphs with maximal revised Szeged index  

E-Print Network [OSTI]

The revised Szeged index $Sz^*(G)$ is defined as $Sz^*(G)=\\sum_{e=uv \\in E}(n_u(e)+ n_0(e)/2)(n_v(e)+ n_0(e)/2),$ where $n_u(e)$ and $n_v(e)$ are, respectively, the number of vertices of $G$ lying closer to vertex $u$ than to vertex $v$ and the number of vertices of $G$ lying closer to vertex $v$ than to vertex $u$, and $n_0(e)$ is the number of vertices equidistant to $u$ and $v$. Hansen used the AutoGraphiX and made the following conjecture about the revised Szeged index for a connected bicyclic graph $G$ of order $n \\geq 6$:

Li, Xueliang

2011-01-01T23:59:59.000Z

229

THE MATCHING ENERGY OF A GRAPH IVAN GUTMAN AND STEPHAN WAGNER  

E-Print Network [OSTI]

(3) implies that the energy of a tree is a monotonically increasing function of any m(T, k) for the study of the energy of trees, we may consider it also for cycle­containing graphs. For such graphsTHE MATCHING ENERGY OF A GRAPH IVAN GUTMAN AND STEPHAN WAGNER Abstract. The energy of a graph G

Wagner, Stephan

230

Embeddings of Cubic Halin Graphs A Surface-by-Surface Inventory  

E-Print Network [OSTI]

Embeddings of Cubic Halin Graphs A Surface-by-Surface Inventory Jonathan L. Gross Columbia@cs.columbia.edu; http://www.cs.columbia.edu/gross/. 1 #12;Embeddings of Cubic Halin Graphs: An Inventory 2 1 graph for a 14-vertex tree with 8 leaves. #12;Embeddings of Cubic Halin Graphs: An Inventory 3

Gross, Jonathan L.

231

ASYMPTOTIC STUDY OF SUBCRITICAL GRAPH CLASSES MICHAEL DRMOTA, ERIC FUSY, MIHYUN KANG, VERONIKA KRAUS  

E-Print Network [OSTI]

ASYMPTOTIC STUDY OF SUBCRITICAL GRAPH CLASSES MICHAEL DRMOTA, ´ERIC FUSY, MIHYUN KANG, VERONIKA from the so-called "subcritical" graph classes, which include the classes of cacti graphs, outerplanar graphs chosen from subcritical classes. We show that the number gn/n! (resp. gn) of labelled (resp

Paris-Sud XI, Université de

232

Geodesic Distance in Planar Graphs: An Integrable Approach  

E-Print Network [OSTI]

We discuss the enumeration of planar graphs using bijections with suitably decorated trees, which allow for keeping track of the geodesic distances between faces of the graph. The corresponding generating functions obey non-linear recursion relations on the geodesic distance. These are solved by use of stationary multi-soliton tau-functions of suitable reductions of the KP hierarchy. We obtain a unified formulation of the (multi-) critical continuum limit describing large graphs with marked points at large geodesic distances, and obtain integrable differential equations for the corresponding scaling functions. This provides a continuum formulation of two-dimensional quantum gravity, in terms of the geodesic distance.

P. Di Francesco

2005-06-27T23:59:59.000Z

233

The Graph Laplacian and the Dynamics of Complex Networks  

SciTech Connect (OSTI)

In this talk, we explore the structure of networks from a spectral graph-theoretic perspective by analyzing the properties of the Laplacian matrix associated with the graph induced by a network. We will see how the eigenvalues of the graph Laplacian relate to the underlying network structure and dynamics and provides insight into a phenomenon frequently observed in real world networks - the emergence of collective behavior from purely local interactions seen in the coordinated motion of animals and phase transitions in biological networks, to name a few.

Thulasidasan, Sunil [Los Alamos National Laboratory

2012-06-11T23:59:59.000Z

234

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Office of Environmental Management (EM)

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235

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Office of Environmental Management (EM)

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236

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237

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238

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239

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240

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242

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243

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244

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246

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248

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250

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255

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256

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257

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258

XRAYOPS Info Page  

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259

ARM - Front Page  

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260

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261

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262

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263

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264

Energy Services home page  

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265

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266

RF Group Home Page  

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267

RMOTC - Articles - Page 2  

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269

Inside RHIC | Home Page  

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270

NREL: Newsroom Home Page  

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271

NREL: Publications Home Page  

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272

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273

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274

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275

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276

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277

Geothermal: Home Page  

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278

DSW Home Page  

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279

Cover and Title Page  

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280

DA326576 (2 pages)  

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281

Yennello Group Home Page  

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282

PDSF Group Pages  

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283

Stellarator News Home Page  

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284

WIPP Home Page Search  

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285

WIPP Stakeholder Information Page  

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286

Aprun MAN Page  

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287

Diamond graphs and super-reflexivity William B. Johnson  

E-Print Network [OSTI]

Diamond graphs and super-reflexivity William B. Johnson and Gideon Schechtman Abstract The main results is that dimension reduction a-la Johnson­Lindenstrauss fails in any non super reflexive space

Johnson, William B.

288

Kron Reduction of Graphs with Applications to Electrical Networks  

E-Print Network [OSTI]

Consider a weighted and undirected graph, possibly with self-loops, and its corresponding Laplacian matrix, possibly augmented with additional diagonal elements corresponding to the self-loops. The Kron reduction of this graph is again a graph whose Laplacian matrix is obtained by the Schur complement of the original Laplacian matrix with respect to a subset of nodes. The Kron reduction process is ubiquitous in classic circuit theory and in related disciplines such as electrical impedance tomography, smart grid monitoring, transient stability assessment in power networks, or analysis and simulation of induction motors and power electronics. More general applications of Kron reduction occur in sparse matrix algorithms, multi-grid solvers, finite--element analysis, and Markov chains. The Schur complement of a Laplacian matrix and related concepts have also been studied under different names and as purely theoretic problems in the literature on linear algebra. In this paper we propose a general graph-theoretic f...

Dorfler, Florian

2011-01-01T23:59:59.000Z

289

Drawing a Graph in a Hypercube David R. Wood  

E-Print Network [OSTI]

Drawing a Graph in a Hypercube David R. Wood #3; Departament de Matem#18;atica Aplicada II Universitat Polit#18;ecnica de Catalunya Barcelona, Spain david.wood@upc.edu Submitted: Nov 16, 2004; Accepted

Wood, David R.

290

Drawing a Graph in a Hypercube David R. Wood  

E-Print Network [OSTI]

Drawing a Graph in a Hypercube David R. Wood Departament de Matem`atica Aplicada II Universitat Polit`ecnica de Catalunya Barcelona, Spain david.wood@upc.edu Submitted: Nov 16, 2004; Accepted: Aug 11

Wood, David R.

291

Exact Solution of Graph Coloring Problems via Constraint ...  

E-Print Network [OSTI]

of coloring the vertices of a graph so that adjacent vertices have different ..... in a vector y having always the same order corresponding to that of matrix A rows.

2011-09-21T23:59:59.000Z

292

New Lower Bounds on the Stability Number of a Graph  

E-Print Network [OSTI]

Jun 27, 2007 ... adjacency matrix of G. The complete graph on n vertices is denoted by Kn. ..... We used MATLAB to compute each of the five bounds on each of...

2007-06-27T23:59:59.000Z

293

The Asymmetric Traveling Salesman Problem on Graphs with Bounded Genus  

E-Print Network [OSTI]

Saberi Abstract We give a constant factor approximation algorithm for the asymmetric traveling salesman:{shayan, saberi}@stanford.edu. 1 #12;Thin trees were first defined in the graph embedding literature in an attempt

Saberi, Amin

294

Random Walks with Lookahead in Power Law Random Graphs  

E-Print Network [OSTI]

1 Random Walks with Lookahead in Power Law Random Graphs Milena Mihail Amin Saberi Prasad Tetali Georgia Institute of Technology Email: mihail, saberi @cc.gatech.edu tetali@math.cc.gatech.edu Abstract

Mihail, Milena

295

Confluence in Data Reduction: Bridging Graph Transformation and Kernelization  

E-Print Network [OSTI]

Ermel Falk H¨uffner Rolf Niedermeier Olga Runge Institut f¨ur Softwaretechnik und Theoretische of critical pair analysis from graph transformation theory, supported by the AGG software tool. These results

Wichmann, Felix

296

Advanced Vulnerability Analysis and Intrusion Detection Through Predictive Attack Graphs  

E-Print Network [OSTI]

Advanced Vulnerability Analysis and Intrusion Detection Through Predictive Attack Graphs Steven, without considering how they contribute to overall attack risk. Similarly, intrusion alarms are logged threats, complexity of security data, and network growth. Our approach to network defense applies attack

Noel, Steven

297

Modeling modern network attacks and countermeasures using attack graphs  

E-Print Network [OSTI]

By accurately measuring risk for enterprise networks, attack graphs allow network defenders to understand the most critical threats and select the most effective countermeasures. This paper describes substantial enhancements ...

Ingols, Kyle W.

298

Fracture and Fragmentation of Simplicial Finite Elements Meshes using Graphs  

SciTech Connect (OSTI)

An approach for the topological representation of simplicial finite element meshes as graphs is presented. It is shown that by using a graph, the topological changes induced by fracture reduce to a few, local kernel operations. The performance of the graph representation is demonstrated and analyzed, using as reference the 3D fracture algorithm by Pandolfi and Ortiz [22]. It is shown that the graph representation initializes in O(N{sub E}{sup 1.1}) time and fractures in O(N{sub I}{sup 1.0}) time, while the reference implementation requires O(N{sub E}{sup 2.1}) time to initialize and O(N{sub I}{sup 1.9}) time to fracture, where NE is the number of elements in the mesh and N{sub I} is the number of interfaces to fracture.

Mota, A; Knap, J; Ortiz, M

2006-10-18T23:59:59.000Z

299

Local computation algorithms for graphs of non-constant degrees  

E-Print Network [OSTI]

In the model of local computation algorithms (LCAs), we aim to compute the queried part of the output by examining only a small (sublinear) portion of the input. Many recently developed LCAs on graph problems achieve time ...

Yodpinyanee, Anak

2014-01-01T23:59:59.000Z

300

Parallel Algorithms for Graph Optimization using Tree Decompositions  

SciTech Connect (OSTI)

Although many $\\cal{NP}$-hard graph optimization problems can be solved in polynomial time on graphs of bounded tree-width, the adoption of these techniques into mainstream scientific computation has been limited due to the high memory requirements of the necessary dynamic programming tables and excessive runtimes of sequential implementations. This work addresses both challenges by proposing a set of new parallel algorithms for all steps of a tree decomposition-based approach to solve the maximum weighted independent set problem. A hybrid OpenMP/MPI implementation includes a highly scalable parallel dynamic programming algorithm leveraging the MADNESS task-based runtime, and computational results demonstrate scaling. This work enables a significant expansion of the scale of graphs on which exact solutions to maximum weighted independent set can be obtained, and forms a framework for solving additional graph optimization problems with similar techniques.

Sullivan, Blair D [ORNL; Weerapurage, Dinesh P [ORNL; Groer, Christopher S [ORNL

2012-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Min-Max Theorems Related to Geometric Representationsof Graphs ...  

E-Print Network [OSTI]

Oct 27, 2010 ... 1. Introduction. Geometric representations of graphs is a beautiful area where combina- ..... We shall use the following construction to get hypersphere ...... This is not surprising, as SDP duality theory is more complex than LP.

Marcel K. de Carli Silva and Levent Tuncel

2011-08-06T23:59:59.000Z

302

Technology Portfolio Planning by Weighted Graph Analysis of System Architectures  

E-Print Network [OSTI]

Technology Portfolio Planning by Weighted Graph Analysis of System Architectures Peter Davison and Bruce Cameron Massachusetts Institute of Technology, Cambridge, MA 02139 Edward F. Crawley Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia Abstract5 Many systems undergo significant

de Weck, Olivier L.

303

Ranking Outlier Nodes in Subspaces of Attributed Graphs  

E-Print Network [OSTI]

. Our graph outlier ranking (GOutRank) introduces scoring functions based on these selected subgraphs by looking at the most promising objects first. They 1http://www.ipd.kit.edu/~muellere/GOutRank/ allow users

Antwerpen, Universiteit

304

How are Feynman graphs resumed by the Loop Vertex Expansion?  

E-Print Network [OSTI]

The purpose of this short letter is to clarify which set of pieces of Feynman graphs are resummed in a Loop Vertex Expansion, and to formulate a conjecture on the $\\phi^4$ theory in non-integer dimension.

Vincent Rivasseau; Zhituo Wang

2010-06-23T23:59:59.000Z

305

Decoding linear codes via optimization and graph-based techniques  

E-Print Network [OSTI]

2.2.1 Linear Codes on1.1.2 Graph-Based Codes 1.2 Dissertation Overview . . .versus the length of the code for (3,6)-regular LDPC codes (

Taghavi, Mohammad H.

2008-01-01T23:59:59.000Z

306

MacWilliams identities for codes on graphs  

E-Print Network [OSTI]

The MacWilliams identity for linear time-invariant convolutional codes that has recently been found by Gluesing-Luerssen and Schneider is proved concisely, and generalized to arbitrary group codes on graphs. A similar ...

Forney, G. David, Jr.

307

On the limiting absorption principle and spectra of quantum graphs  

E-Print Network [OSTI]

The main result of the article is validity of the limiting absorption principle and thus absence of the singular continuous spectrum for compact quantum graphs with several infinite leads attached. The technique used involves Dirichlet-to-Neumann operators.

Beng-Seong Ong

2005-10-10T23:59:59.000Z

308

The Branching of Graphs in 2-d Quantum Gravity  

E-Print Network [OSTI]

The branching ratio is calculated for three different models of 2d gravity, using dynamical planar phi-cubed graphs. These models are pure gravity, the D=-2 Gaussian model coupled to gravity and the single spin Ising model coupled to gravity. The ratio gives a measure of how branched the graphs dominating the partition function are. Hence it can be used to estimate the location of the branched polymer phase for the multiple Ising model coupled to 2d gravity.

M. G. Harris

1996-07-16T23:59:59.000Z

309

Math 172 Chapter 7A notes Page 1 of 14 7.1 Area Between Curves  

E-Print Network [OSTI]

= 1 5 (1)5 - 1 5 (-1)51 -1 = 1 5 (1) - 1 5 (-1) = 2 5 = 2 - 2 5 = 8 5 Example. Find the areaMath 172 Chapter 7A notes Page 1 of 14 7.1 Area Between Curves Recall area under a curve graph in [, ] = - Choose sample points in each subinterval. Add sample point in and draw rectangle 1 , ... , Area

Schumaker, Mark

310

Discrete Mathematics and Theoretical Computer Science DMTCS vol. 11:2, 2009, 149160 Spectral characterizations of sun graphs and  

E-Print Network [OSTI]

characterizations of sun graphs and broken sun graphs Romain Boulet Institut de Math´ematiques de Toulouse by their spectrum by considering some unicyclic graphs. An odd (resp. even) sun is a graph obtained by appending a pendant vertex to each vertex of an odd (resp. even) cycle. A broken sun is a graph obtained by deleting

Paris-Sud XI, Université de

311

Multicoloured Random Graphs: The Random Dynamics Program  

E-Print Network [OSTI]

The Random Dynamics program is a proposal to explain the origin of all symmetries, including Lorentz and gauge invariance without appeal to any fundamental invariance of the laws of nature, and to derive the known physical laws in such a way as to be almost unavoidable. C. D. Froggatt and H. B. Nielsen proposed in their book Origin of Symmetries, that symmetries and physical laws should arise naturally from some essentially random dynamics rather than being postulated to be exact. The most useful assumption of the program that can be made about the fundamental laws is taken to be that they are random and then to see how known physics like mechanics and relativity follow from them. It is believed that almost any model of these regularities would appear in some limit for example as energies become small. Almost all theories or models at the fundamental level could then explain known physics. We suggest how using the formalism and properties of random graphs might be useful in developing the theory, and point towards directions in which it can be more fully extended in future work.

Sam Tarzi

2014-07-15T23:59:59.000Z

312

Department of Mathematics: Course Page  

E-Print Network [OSTI]

... offered in Spring 2015. Past course pages are available here: ... ADA policies: please see our ADA Information page for more details. In the event of a missed...

313

EMIS Quick User Guide Search page (details on page 2)  

E-Print Network [OSTI]

search terms in foreign languages You can enter search terms in foreign languages by: - Using your: Please note that we have a Cyrillic and Arabic keyboards available through the Search page. EnteringEMIS Quick User Guide Search page (details on page 2) The News page: Access the latest news

Barthelat, Francois

314

page 1 1 Introduction  

E-Print Network [OSTI]

#12;#12;#12;#12;#12;#12;page 1 1 Introduction Techniques to recover object shapes from reflectance. The sunlight can be regarded as yellow point light source whose movement is restricted to the ecliptic1 reflection components from the object surface. Reflection from object surfaces may have multiple 1. The great

315

Old School, . . . page 4  

E-Print Network [OSTI]

of the mission is to measure x-ray polarization in pulsars, gamma-ray bursts, and solar flares. Mark Mc reinflated the balloon program. the Gamma-ray Polarimeter experiment or GraPe received $2 million from nasaH scientists and engineers created for the Compton Gamma-ray Observatory (CGrO). -- continued on page 3 In rock

316

CONTENTS PAGE INTRODUCTION  

E-Print Network [OSTI]

THE APPLICATIONS AND VALIDITY OF BODE'S LAW CAN WE EXPLAIN BODE'S LAW USING GRAVITY? 8 Law of Gravitation 8 Centre#12;#12;CONTENTS CONTENTS PAGE INTRODUCTION WHO, HOW AND WHEN IS THE BODE'S LAW DISCOVERED? 1 THE BODE'S LAW HOW THE BODE'S LAW SATISFIED URANUS 3 HOW THE BODE'S LAW LED TO THE DISCOVERY OF CERES

Aslaksen, Helmer

317

Pauli graph and finite projective lines/geometries  

E-Print Network [OSTI]

The commutation relations between the generalized Pauli operators of N-qudits (i. e., N p-level quantum systems), and the structure of their maximal sets of commuting bases, follow a nice graph theoretical/geometrical pattern. One may identify vertices/points with the operators so that edges/lines join commuting pairs of them to form the so-called Pauli graph P_{p^N} . As per two-qubits (p = 2, N = 2) all basic properties and partitionings of this graph are embodied in the geometry of the symplectic generalized quadrangle of order two, W(2). The structure of the two-qutrit (p = 3, N = 2) graph is more involved; here it turns out more convenient to deal with its dual in order to see all the parallels with the two-qubit case and its surmised relation with the geometry of generalized quadrangle Q(4, 3), the dual of W(3). Finally, the generalized adjacency graph for multiple (N > 3) qubits/qutrits is shown to follow from symplectic polar spaces of order two/three. The relevance of these mathematical concepts to mutually unbiased bases and to quantum entanglement is also highlighted in some detail.

Michel R. P. Planat; Metod Saniga

2007-03-16T23:59:59.000Z

318

Kron Reduction of Graphs with Applications to Electrical Networks  

E-Print Network [OSTI]

Consider a weighted and undirected graph, possibly with self-loops, and its corresponding Laplacian matrix, possibly augmented with additional diagonal elements corresponding to the self-loops. The Kron reduction of this graph is again a graph whose Laplacian matrix is obtained by the Schur complement of the original Laplacian matrix with respect to a subset of nodes. The Kron reduction process is ubiquitous in classic circuit theory and in related disciplines such as electrical impedance tomography, smart grid monitoring, transient stability assessment in power networks, or analysis and simulation of induction motors and power electronics. More general applications of Kron reduction occur in sparse matrix algorithms, multi-grid solvers, finite--element analysis, and Markov chains. The Schur complement of a Laplacian matrix and related concepts have also been studied under different names and as purely theoretic problems in the literature on linear algebra. In this paper we propose a general graph-theoretic framework for Kron reduction that leads to novel and deep insights both on the mathematical and the physical side. We show the applicability of our framework to various practical problem setups arising in engineering applications and computation. Furthermore, we provide a comprehensive and detailed graph-theoretic analysis of the Kron reduction process encompassing topological, algebraic, spectral, resistive, and sensitivity analyses. Throughout our theoretic elaborations we especially emphasize the practical applicability of our results.

Florian Dorfler; Francesco Bullo

2011-02-15T23:59:59.000Z

319

A graph-based system for network-vulnerability analysis  

SciTech Connect (OSTI)

This paper presents a graph-based approach to network vulnerability analysis. The method is flexible, allowing analysis of attacks from both outside and inside the network. It can analyze risks to a specific network asset, or examine the universe of possible consequences following a successful attack. The graph-based tool can identify the set of attack paths that have a high probability of success (or a low effort cost) for the attacker. The system could be used to test the effectiveness of making configuration changes, implementing an intrusion detection system, etc. The analysis system requires as input a database of common attacks, broken into atomic steps, specific network configuration and topology information, and an attacker profile. The attack information is matched with the network configuration information and an attacker profile to create a superset attack graph. Nodes identify a stage of attack, for example the class of machines the attacker has accessed and the user privilege level he or she has compromised. The arcs in the attack graph represent attacks or stages of attacks. By assigning probabilities of success on the arcs or costs representing level-of-effort for the attacker, various graph algorithms such as shortest-path algorithms can identify the attack paths with the highest probability of success.

Swiler, L.P.; Phillips, C.

1998-06-01T23:59:59.000Z

320

Quantum ergodicity for graphs related to interval maps  

E-Print Network [OSTI]

We prove quantum ergodicity for a family of graphs that are obtained from ergodic one-dimensional maps of an interval using a procedure introduced by Pakonski et al (J. Phys. A, v. 34, 9303-9317 (2001)). As observables we take the L^2 functions on the interval. The proof is based on the periodic orbit expansion of a majorant of the quantum variance. Specifically, given a one-dimensional, Lebesgue-measure-preserving map of an interval, we consider an increasingly refined sequence of partitions of the interval. To this sequence we associate a sequence of graphs, whose directed edges correspond to elements of the partitions and on which the classical dynamics approximates the Perron-Frobenius operator corresponding to the map. We show that, except possibly for subsequences of density 0, the eigenstates of the quantum graphs equidistribute in the limit of large graphs. For a smaller class of observables we also show that the Egorov property, a correspondence between classical and quantum evolution in the semiclassical limit, holds for the quantum graphs in question.

G. Berkolaiko; J. P. Keating; U. Smilansky

2006-07-07T23:59:59.000Z

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Sample page | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWende New EnergyAnatolia JumpRiegotecSadoun Solar Sales

322

Mining Large Heterogeneous Graphs using Cray s Urika  

SciTech Connect (OSTI)

Pattern discovery and predictive modeling from seemingly related Big Data represented as massive, ad-hoc, heterogeneous networks (e.g., extremely large graphs with complex, possibly unknown structure) is an outstanding problem in many application domains. To address this problem, we are designing graph-mining algorithms capable of discovering relationship-patterns from such data and using those discovered patterns as features for classification and predictive modeling. Specifically, we are: (i) exploring statistical properties, mechanics and generative models of behavior patterns in heterogeneous information networks, (ii) developing novel, automated and scalable graph-pattern discovery algorithms and (iii) applying our relationship-analytics (data science + network science) expertise to domains spanning healthcare to homeland security.

Sukumar, Sreenivas R [ORNL] [ORNL; Bond, Nathaniel A [ORNL] [ORNL

2013-01-01T23:59:59.000Z

323

Semi-classical measures on Quantum graphs and the Gau map of the determinant manifold  

E-Print Network [OSTI]

believed that QE does not hold in general for a FIXED quantum graph. This is proved for star graphs in [BKW to what people do in several papers like [BG00, BKW04, BW08, Ba12, BB13]. Let

Recanati, Catherine

324

Structural Testing: An Introduction Flow Graphs Path Testing Conclusions Path Testing  

E-Print Network [OSTI]

Structural Testing: An Introduction Flow Graphs Path Testing Conclusions Path Testing Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing, 2013 Mousavi: Path Testing #12;Structural Testing: An Introduction Flow Graphs Path Testing Conclusions Outline Structural

Mousavi, Mohammad

325

Structural Testing: An Introduction Flow Graphs Path Testing Conclusions Path Testing  

E-Print Network [OSTI]

Structural Testing: An Introduction Flow Graphs Path Testing Conclusions Path Testing Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing, 2012 Mousavi: Path Testing #12;Structural Testing: An Introduction Flow Graphs Path Testing Conclusions Outline Structural

Mousavi, Mohammad

326

Random intersection graphs and their applications in security, wireless communication, and social networks  

E-Print Network [OSTI]

Random intersection graphs have received much interest and been used in diverse applications. They are naturally induced in modeling secure sensor networks under random key predistribution schemes, as well as in modeling the topologies of social networks including common-interest networks, collaboration networks, and actor networks. Simply put, a random intersection graph is constructed by assigning each node a set of items in some random manner and then putting an edge between any two nodes that share a certain number of items. Broadly speaking, our work is about analyzing random intersection graphs, and models generated by composing it with other random graph models including random geometric graphs and Erd\\H{o}s-R\\'enyi graphs. These compositional models are introduced to capture the characteristics of various complex natural or man-made networks more accurately than the existing models in the literature. For random intersection graphs and their compositions with other random graphs, we study properties su...

Zhao, Jun; Gligor, Virgil

2015-01-01T23:59:59.000Z

327

Math 497E/564 Graph Theory Winter 2012 Instructor Amites Sarkar  

E-Print Network [OSTI]

Math 497E/564 Graph Theory Winter 2012 Instructor Amites Sarkar Text Modern Graph Theory B, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar@wwu.edu #12;

Sarkar, Amites

328

Vacuum energy, spectral determinant and heat kernel asymptotics of graph Laplacians with general vertex matching conditions  

E-Print Network [OSTI]

We consider Laplace operators on metric graphs, networks of one-dimensional line segments (bonds), with matching conditions at the vertices that make the operator self-adjoint. Such quantum graphs provide a simple model of quantum mechanics in a classically chaotic system with multiple scales corresponding to the lengths of the bonds. For graph Laplacians we briefly report results for the spectral determinant, vacuum energy and heat kernel asymptotics of general graphs in terms of the vertex matching conditions.

J. M. Harrison; K. Kirsten

2010-03-16T23:59:59.000Z

329

Highly Connected Random Geometric Graphs Paul Balister #+ Bela Bollobas +# Amites Sarkar + Mark Walters #  

E-Print Network [OSTI]

Highly Connected Random Geometric Graphs Paul Balister #+ B??ela Bollob??as +#§ Amites Sarkar +¶ Mark

Banaji,. Murad

330

Bounds for mixing time of quantum walks on finite graphs  

E-Print Network [OSTI]

Several inequalities are proved for the mixing time of discrete-time quantum walks on finite graphs. The mixing time is defined differently than in Aharonov, Ambainis, Kempe and Vazirani (2001) and it is found that for particular examples of walks on a cycle, a hypercube and a complete graph, quantum walks provide no speed-up in mixing over the classical counterparts. In addition, non-unitary quantum walks (i.e., walks with decoherence) are considered and a criterion for their convergence to the unique stationary distribution is derived.

Vladislav Kargin

2010-07-21T23:59:59.000Z

331

Bifurcations of mutually coupled equations in random graphs  

E-Print Network [OSTI]

We study the behavior of solutions of mutually coupled equations in heterogeneous random graphs. Heterogeneity means that some equations receive many inputs whereas most of the equations are given only with a few connections. Starting from a situation where the isolated equations are unstable, we prove that a heterogeneous interaction structure leads to the appearance of stable subspaces of solutions. Moreover, we show that, for certain classes of heterogeneous networks, increasing the strength of interaction leads to a cascade of bifurcations in which the dimension of the stable subspace of solutions increases. We explicitly determine the bifurcation scenario in terms of the graph structure.

Eduardo Garibaldi; Tiago Pereira

2014-09-19T23:59:59.000Z

332

Groups generated by bounded automata and their schreier graphs  

E-Print Network [OSTI]

on levels of automaton groups can be constructed by an iterative procedure of inflation of graphs. This was used to associate a piecewise linear map of the form fK(v) = minA?KAv, where K is a finite set of nonnegative matrices, with every bounded automaton... and minimal growth of the components of f(n)K (v). We prove that the growth exponent of diameters of the Schreier graphs is equal to ?max and the orbital contracting coefficient of the group is equal to 1? min . We prove that the simple random walks on orbital...

Bondarenko, Ievgen

2008-10-10T23:59:59.000Z

333

Some Remarks on Cycles in Graphs and Digraphs \\Lambda Martin Loebl  

E-Print Network [OSTI]

Some Remarks on Cycles in Graphs and Digraphs \\Lambda Martin Loebl Department of Applied, Chile mmatamal@dim.uchile.cl Abstract We survey several recent results on cycles of graphs and directed graphs of the following form: 'Does there exist a set of cycles with a property P that generates all

Loebl, Martin

334

EVEN CYCLE DECOMPOSITIONS OF GRAPHS WITH NO ODD-K4-MINOR  

E-Print Network [OSTI]

EVEN CYCLE DECOMPOSITIONS OF GRAPHS WITH NO ODD-K4-MINOR TONY HUYNH, SANG-IL OUM, AND MARYAM VERDIAN-RIZI Abstract. An even cycle decomposition of a graph G is a partition of E(G) into cycles of even length. Evidently, every Eulerian bipartite graph has an even cycle decomposition. Seymour [circuits

Kim, Yong Jung

335

Improved bounds and algorithms for graph cuts and network reliability David G. Harris  

E-Print Network [OSTI]

Improved bounds and algorithms for graph cuts and network reliability David G. Harris Aravind, the graphs we deal with will be multi-graphs with no self-loops. We define R(p), the reliability polyno- mial there is no currently known algorithm for estimating R(p), the complementary probability U(p) = 1 - R(p), which we

Srinivasan, Aravind

336

Multiple Coordinated Views for Network Attack Graphs Steven Noel Michael Jacobs Pramod Kalapa Sushil Jajodia  

E-Print Network [OSTI]

Multiple Coordinated Views for Network Attack Graphs Steven Noel Michael Jacobs Pramod Kalapa graph-based representations have been developed for modeling combinations of low-level network attacks, relatively little attention has been paid to effective techniques for visualizing such attack graphs

Noel, Steven

337

CLAW-FREE 3-CONNECTED P11-FREE GRAPHS ARE HAMILTONIAN  

E-Print Network [OSTI]

CLAW-FREE 3-CONNECTED P11-FREE GRAPHS ARE HAMILTONIAN TOMASZ LUCZAK AND FLORIAN PFENDER Abstract. We show that every 3-connected claw-free graph which contains no induced copy of P11 is hamiltonian. Since there ex- ist non-hamiltonian 3-connected claw-free graphs without induced copies of P12

Pfender, Florian

338

The evolution of helping and harming on graphs: the return of the inclusive fitness effect  

E-Print Network [OSTI]

The evolution of helping and harming on graphs: the return of the inclusive fitness effect L relatedness between individuals promotes helping behaviour, evolu- tionary graph theory emphasizes., 2006; Ohtsuki & Nowak, 2006). Evolutionary graph theory models allow the effect of space on helping

Alvarez, Nadir

339

Between automation and exploration: SAS graphing techniques for visualization of survey data  

E-Print Network [OSTI]

Between automation and exploration: SAS graphing techniques for visualization of survey data Chong of survey data. There is always a tension between automation and exploration. Automation is a common to automate the graphing processes via SAS/Macros and SAS/Graph. However, hidden patterns of the data may

Yu, Alex

340

Protection of a Graph EJ Cockayne y , PJP Grobler z , WR Grundlingh z ,  

E-Print Network [OSTI]

four strategies, i.e. properties of such functions under which the entire graph may be deemed protected of guards required to protect the graph under the various strategies, are stud- ied. Exact values or boundsProtection of a Graph #3; EJ Cockayne y , PJP Grobler z , WR Grundlingh z , J Munganga ? & JH van

van Vuuren, Jan H.

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

THIS PAGE INTENTIONALLY LEFT BLANK  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClient update resolve008Energy 8 -THEShaleTHIS PAGE

342

Create Page | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORT Americium/CuriumSunways JVGroupChoiceCoronation Power JumpCreate Page

343

Internship continued on page 6 Congestion continued on page 7  

E-Print Network [OSTI]

Internship continued on page 6 Congestion continued on page 7 BICYCLE COMMUTING page 2 CROSS September 2013 Catalystcts.umn.edu Internship program continues its success in second year Participants in the 2013 Summer Transportation Internship Program gained valuable experience in the transportation industry

Minnesota, University of

344

MATLAB Tutorial Getting Started with Calculations, Graphing and Programming  

E-Print Network [OSTI]

MATLAB Tutorial Getting Started with Calculations, Graphing and Programming Nicholas R. Kirchner University of Minnesota Thursday, August 30, 2012 #12;Outline 1 MATLAB installation NRK (University of Minnesota) MATLAB 2012.08.30 2 / 28 #12;Outline 1 MATLAB installation 2 The MATLAB UI NRK (University

Weinberger, Hans

345

Analyzing Gene Relationships for Down Syndrome with Labeled Transition Graphs  

E-Print Network [OSTI]

Analyzing Gene Relationships for Down Syndrome with Labeled Transition Graphs Neha Rungta, Hyrum changes in gene expres- sion and physical characteristics associated with Down syndrome is not well understood. Chromosome 21 genes interact with non- chromosome 21 genes to produce Down syndrome

Brigham Young University

346

Structured Region Graphs: Morphing EP into GBP Max Welling  

E-Print Network [OSTI]

Structured Region Graphs: Morphing EP into GBP Max Welling Dept. of Computer Science UC Irvine@eecs.berkeley.edu Abstract GBP and EP are two successful algo­ rithms for approximate probabilistic infer­ ence, which on these structures allow conversion between EP and GBP free ener­ gies. Thus it is revealed that all EP ap

Welling, Max

347

Structured Region Graphs: Morphing EP into GBP Max Welling  

E-Print Network [OSTI]

Structured Region Graphs: Morphing EP into GBP Max Welling Dept. of Computer Science UC Irvine@eecs.berkeley.edu Abstract GBP and EP are two successful algo- rithms for approximate probabilistic infer- ence, which on these structures allow conversion between EP and GBP free ener- gies. Thus it is revealed that all EP ap

Welling, Max

348

Kron Reduction of Graphs with Applications to Electrical Networks  

E-Print Network [OSTI]

1 Kron Reduction of Graphs with Applications to Electrical Networks Florian D¨orfler Francesco work supported by NSF grants IIS- 0904501 and CPS-1135819. Florian D¨orfler and Francesco Bullo Barbara, CA 93106, {dorfler, bullo}@engineering.ucsb.edu we consider the circuit naturally associated

Bullo, Francesco

349

Brain Mapping Using Topology Graphs Obtained by Surface Segmentation  

E-Print Network [OSTI]

Brain Mapping Using Topology Graphs Obtained by Surface Segmentation Fabien Vivodtzev1 , Lars@ucdavis.edu Summary. Brain mapping is a technique used to alleviate the tedious and time- consuming process of annotating brains by mapping existing annotations from brain atlases to individual brains. We introduce

Linsen, Lars

350

Spectral Decision Diagrams Using Graph Transformations Mitchell Thornton Rolf Drechsler  

E-Print Network [OSTI]

Spectral Decision Diagrams Using Graph Transformations #3; Mitchell Thornton Rolf Drechsler Department of Electrical and Computer Engineering Siemens AG Mississippi State University Corporate Technology Mississippi State, MS 39762 81730 Munich, Germany mitch@ece.msstate.edu rolf.drechsler@mchp.siemens

Thornton, Mitchell

351

Mining Large Graphs And Streams Using Matrix And Tensor Tools  

E-Print Network [OSTI]

RESULTS The graphs at right show overall variability distribution estimated for the Pentium D 800 where a core no longer works properly. In the Sun T1 Niagara cores this is done with a built-in- self processors we record the temperature at which the failure occurred and adjust to the frequencies

Kolda, Tamara G.

352

Optimizing Path Query Performance: Graph Clustering Strategies \\Lambda  

E-Print Network [OSTI]

.J. Watson Labs ywh@us.ibm.com Ning Jing z Changsha Institute of Technology jning@eecs.umich.edu Elke A because it does not incur any run­time cost, requires no auxiliary data structures, and is complimentary evaluation of the performance of these graph clustering techniques using an actual city road network as well

353

An Interchange File Format for Graphs Michael Himsolt  

E-Print Network [OSTI]

graphical information. It is designed as an extendible format and provides facilities such that other be as flexible and extensible as possible. Other programs should be able to write graph files with low overhead Ascii). Since end of line is encoded differ­ ently on different platform, we choose not to use end­of­line

Pentus, Mati

354

Hamilton cycles in graphs and hypergraphs: an extremal perspective  

E-Print Network [OSTI]

Hamilton cycles in graphs and hypergraphs: an extremal perspective Abstract. As one of the most fundamental and well-known NP-complete problems, the Hamilton cycle problem has been the subject of intensive and the study of Hamilton cycles in hypergraphs. We survey these developments and highlight open problems

Osthus, Deryk

355

HAMILTON CYCLES IN GRAPHS AND HYPERGRAPHS: AN EXTREMAL PERSPECTIVE  

E-Print Network [OSTI]

HAMILTON CYCLES IN GRAPHS AND HYPERGRAPHS: AN EXTREMAL PERSPECTIVE DANIELA K¨UHN AND DERYK OSTHUS Abstract. As one of the most fundamental and well-known NP-complete problems, the Hamilton cycle problem emerged, such as resilience, robustness and the study of Hamilton cycles in hypergraphs. We survey

Osthus, Deryk

356

HAMILTON CYCLES IN GRAPHS AND HYPERGRAPHS: AN EXTREMAL PERSPECTIVE  

E-Print Network [OSTI]

HAMILTON CYCLES IN GRAPHS AND HYPERGRAPHS: AN EXTREMAL PERSPECTIVE DANIELA K¨UHN AND DERYK OSTHUS Abstract. As one of the most fundamental and well-known NP-complete prob- lems, the Hamilton cycle problem emerged, such as resilience, robustness and the study of Hamilton cycles in hypergraphs. We survey

Osthus, Deryk

357

Compatible Hamilton cycles in random graphs Michael Krivelevich  

E-Print Network [OSTI]

Compatible Hamilton cycles in random graphs Michael Krivelevich Choongbum Lee Benny Sudakov, there exists a properly colored Hamilton cycle. Furthermore, our proof can be easily modified to show, there exists a Hamilton cycle in which all edges have distinct colors (i.e., a rainbow Hamilton cycle). 1

Sudakov, Benjamin

358

SEISMIC WAVES ESTIMATION AND WAVE FIELD DECOMPOSITION WITH FACTOR GRAPHS  

E-Print Network [OSTI]

SEISMIC WAVES ESTIMATION AND WAVE FIELD DECOMPOSITION WITH FACTOR GRAPHS Stefano Maranò Christoph, Dept. Information Technology & Electr. Eng., 8092 Zürich ABSTRACT Physical wave fields are often from sensors of different kinds. In this paper we propose a technique for the analysis of vector wave

Loeliger, Hans-Andrea

359

Quantitative Analysis of the Full Bitcoin Transaction Graph  

E-Print Network [OSTI]

Quantitative Analysis of the Full Bitcoin Transaction Graph Dorit Ron and Adi Shamir Department.ron,adi.shamir}@weizmann.ac.il Abstract. The Bitcoin scheme is a rare example of a large scale global payment system in which all and how they spend their bitcoins, the balance of bitcoins they keep in their accounts, and how they move

360

SMITH INVARIANTS AND DUAL GRADED GRAPHS ALEXANDER MILLER  

E-Print Network [OSTI]

SMITH INVARIANTS AND DUAL GRADED GRAPHS ALEXANDER MILLER Abstract. The aim of this paper the Smith invariants immediately, as the eigenvalues are completely understood [3, 15]. Furthermore, we. Background 1 1.1. Differential posets 1 1.2. Eigenvalues 3 1.3. Smith invariants 3 2. Conjecture for r

Weinberger, Hans

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Evaluation of Multimodal Graphs for Blind People , STEPHEN BREWSTER  

E-Print Network [OSTI]

sense on people's fingers. Tactile diagrams exist in many forms and they mainly differEvaluation of Multimodal Graphs for Blind People WAI YU 1 , STEPHEN BREWSTER 2 1 Virtual visualisation system and its evaluations. This system is designed to improve blind and visually impaired people

Williamson, John

362

Synchronous Black Hole Search in Directed Graphs Adrian Kosowski  

E-Print Network [OSTI]

Synchronous Black Hole Search in Directed Graphs Adrian Kosowski Alfredo Navarra Cristina M called black hole nodes, and once a robot enters in one of them, it is destroyed. The goal is to find supported by the Italian CNR Short-Term Mobility Program. A. Kosowski was supported Polish Ministry Grant N

Paris-Sud XI, Université de

363

WRIGHT'S CONSTANTS IN GRAPH ENUMERATION AND BROWNIAN EXCURSION AREA  

E-Print Network [OSTI]

WRIGHT'S CONSTANTS IN GRAPH ENUMERATION AND BROWNIAN EXCURSION AREA SVANTE JANSON Abstract - 1) = n n-2 for every n # 1. Wright [19] proved that for any fixed k # -1, we have the analoguous) Note the equivalent recursion formula # k+1 = 3k + 2 2 # k + k # j=0 # j # k-j , k # -1. (4) Wright

Janson, Svante

364

WRIGHT'S CONSTANTS IN GRAPH ENUMERATION AND BROWNIAN EXCURSION AREA  

E-Print Network [OSTI]

WRIGHT'S CONSTANTS IN GRAPH ENUMERATION AND BROWNIAN EXCURSION AREA SVANTE JANSON Abstract n 1. Wright [19] proved that for any fixed k -1, we have the analoguous asymptotic formula C(n, n-j, k -1. (4) Wright gives in the later paper [20] the same result in the form k = 2(1-5k)/23k1/2(k - 1

Janson, Svante

365

A graph-based network-vulnerability analysis system  

SciTech Connect (OSTI)

This paper presents a graph based approach to network vulnerability analysis. The method is flexible, allowing analysis of attacks from both outside and inside the network. It can analyze risks to a specific network asset, or examine the universe of possible consequences following a successful attack. The analysis system requires as input a database of common attacks, broken into atomic steps, specific network configuration and topology information, and an attacker profile. The attack information is matched with the network configuration information and an attacker profile to create a superset attack graph. Nodes identify a stage of attack, for example the class of machines the attacker has accessed and the user privilege level he or she has compromised. The arcs in the attack graph represent attacks or stages of attacks. By assigning probabilities of success on the arcs or costs representing level of effort for the attacker, various graph algorithms such as shortest path algorithms can identify the attack paths with the highest probability of success.

Swiler, L.P.; Phillips, C.; Gaylor, T.

1998-05-03T23:59:59.000Z

366

A graph-based network-vulnerability analysis system  

SciTech Connect (OSTI)

This report presents a graph-based approach to network vulnerability analysis. The method is flexible, allowing analysis of attacks from both outside and inside the network. It can analyze risks to a specific network asset, or examine the universe of possible consequences following a successful attack. The analysis system requires as input a database of common attacks, broken into atomic steps, specific network configuration and topology information, and an attacker profile. The attack information is matched with the network configuration information and an attacker profile to create a superset attack graph. Nodes identify a stage of attack, for example the class of machines the attacker has accessed and the user privilege level he or she has compromised. The arcs in the attack graph represent attacks or stages of attacks. By assigning probabilities of success on the arcs or costs representing level-of-effort for the attacker, various graph algorithms such as shortest-path algorithms can identify the attack paths with the highest probability of success.

Swiler, L.P.; Phillips, C. [Sandia National Labs., Albuquerque, NM (United States); Gaylor, T. [3M, Austin, TX (United States). Visual Systems Div.

1998-01-01T23:59:59.000Z

367

Using Visualization Process Graphs to Improve Visualization Exploration  

E-Print Network [OSTI]

Using Visualization Process Graphs to Improve Visualization Exploration T. J. Jankun-Kelly1 University, MS 39762, USA. Email: tjk@acm.org Abstract. Visualization exploration is an iterative process, redundant exploration was quickly identified and eliminated. 1 Introduction During the visualization process

Jankun-Kelly, T. J.

368

Graphs, Rewriting and Pathway Reconstruction for Rule-Based Models  

E-Print Network [OSTI]

simulation of systems represented by rule- based models. This is founded on a new, clean, graph on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012). Editors: D. D'Souza, J ­ Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany #12;Danos et al. 277 illuminates choices made

Fontana, Walter

369

Approximating the Diameter of Planar Graphs in Near Linear Time  

E-Print Network [OSTI]

common starting vertex. Let Gin (resp. Gout) be the subgraph of G induced by C and all interior (resp. exterior) vertices to C. Let d(Gin, Gout, G) denote the largest distance in the graph G between a marked vertex in V (Gin) and a marked vertex in V (Gout). In the beginning, all vertices of G are marked and we

Yuster, Raphael

370

A Simple Approach to Abductive Inference using Conceptual Graphs  

E-Print Network [OSTI]

A Simple Approach to Abductive Inference using Conceptual Graphs Maurice Pagnucco Knowledge Systems, Australia. email: morri@cs.su.oz.au fax : +61­2­692­3838 Abstract Abductive reasoning (or simply abduction) is a form of logical in­ ference that aims to derive plausible explanations for data. The term ``abduction

Pagnucco, Maurice

371

Datacenter Sustainability Page 1 Sustainability  

E-Print Network [OSTI]

Datacenter Sustainability Page 1 Datacenter Sustainability #12;Datacenter Sustainability Page 2 sustainability imperative and how advanced technologies, smart business practices, and strategic partnerships are helping us reduce our impact on the environment. Also learn how our investments in efficient, sustainable

Chaudhuri, Surajit

372

GEOPHYSICALRESEARCHLETTERS,VOL.24,NO.3,PAGES269-271,FEBRUARY1,1997 Sensitivityof greenhousesummerdrynessto changes  

E-Print Network [OSTI]

volume would be sufficient to offset the sum- mer drynessassociatedwith carbon-communityresponsesto greenhousewarming, to carbon-dioxidefertilization,and to associatedchangesin the waterbalanceand(2

373

The average number of distinct sites visited by a random walker on random graphs  

E-Print Network [OSTI]

We study the linear large $n$ behavior of the average number of distinct sites $S(n)$ visited by a random walker after $n$ steps on a large random graph. An expression for the graph topology dependent prefactor $B$ in $S(n) = Bn$ is proposed. We use generating function techniques to relate this prefactor to the graph adjacency matrix and then devise message-passing equations to calculate its value. Numerical simulations are performed to evaluate the agreement between the message passing predictions and random walk simulations on random graphs. Scaling with system size and average graph connectivity are also analysed.

De Bacco, Caterina; Sollich, Peter

2015-01-01T23:59:59.000Z

374

LDRD final report : first application of geospatial semantic graphs to SAR image data.  

SciTech Connect (OSTI)

Modeling geospatial information with semantic graphs enables search for sites of interest based on relationships between features, without requiring strong a priori models of feature shape or other intrinsic properties. Geospatial semantic graphs can be constructed from raw sensor data with suitable preprocessing to obtain a discretized representation. This report describes initial work toward extending geospatial semantic graphs to include temporal information, and initial results applying semantic graph techniques to SAR image data. We describe an efficient graph structure that includes geospatial and temporal information, which is designed to support simultaneous spatial and temporal search queries. We also report a preliminary implementation of feature recognition, semantic graph modeling, and graph search based on input SAR data. The report concludes with lessons learned and suggestions for future improvements.

Brost, Randolph C.; McLendon, William Clarence,

2013-01-01T23:59:59.000Z

375

Generating Reports & Graphs in Portfolio Manager | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject: Guidance for naturalGeneral Service LED Lamps

376

Quantitative Analysis of the Full Bitcoin Transaction Graph  

E-Print Network [OSTI]

Abstract. The Bitcoin scheme is a rare example of a large scale global payment system in which all the transactions are publicly accessible (but in an anonymous way). We downloaded the full history of this scheme, and analyzed many statistical properties of its associated transaction graph. In this paper we answer for the first time a variety of interesting questions about the typical behavior of users, how they acquire and how they spend their bitcoins, the balance of bitcoins they keep in their accounts, and how they move bitcoins between their various accounts in order to better protect their privacy. In addition, we isolated all the large transactions in the system, and discovered that almost all of them are closely related to a single large transaction that took place in November 2010, even though the associated users apparently tried to hide this fact with many strange looking long chains and fork-merge structures in the transaction graph.

Dorit Ron; Adi Shamir

377

A graph-separation theorem for quantum causal models  

E-Print Network [OSTI]

A causal model is an abstract representation of a physical system as a directed acyclic graph (DAG), where the statistical dependencies are encoded using a graphical criterion called `d-separation'. Recent work by Wood & Spekkens shows that causal models cannot, in general, provide a faithful representation of quantum systems. Since d-separation encodes a form of Reichenbach's Common Cause Principle (RCCP), whose validity is questionable in quantum mechanics, we propose a generalised graph separation rule that does not assume the RCCP. We prove that the new rule faithfully captures the statistical dependencies between observables in a quantum network, encoded as a DAG, and is consistent with d-separation in a classical limit. We note that the resulting model is still unable to give a faithful representation of correlations stronger than quantum mechanics, such as the Popescu-Rorlich box.

Jacques Pienaar; Caslav Brukner

2014-10-31T23:59:59.000Z

378

Spectral properties of microwave graphs with local absorption  

E-Print Network [OSTI]

The influence of absorption on the spectra of microwave graphs has been studied experimentally. The microwave networks were made up of coaxial cables and T junctions. First, absorption was introduced by attaching a 50 Ohm load to an additional vertex for graphs with and without time-reversal symmetry. The resulting level-spacing distributions were compared with a generalization of the Wigner surmise in the presence of open channels proposed recently by Poli et al. [Phys. Rev. Lett. 108, 174101 (2012)]. Good agreement was found using an effective coupling parameter. Second, absorption was introduced along one individual bond via a variable microwave attenuator, and the influence of absorption on the length spectrum was studied. The peak heights in the length spectra corresponding to orbits avoiding the absorber were found to be independent of the attenuation, whereas, the heights of the peaks belonging to orbits passing the absorber once or twice showed the expected decrease with increasing attenuation.

M. Allgaier; S. Gehler; S. Barkhofen; H. -J. Stckmann; U. Kuhl

2014-03-30T23:59:59.000Z

379

Judicious partitions of graphs Bela Bollobas and Alexander Scott  

E-Print Network [OSTI]

, and for any graph G, there is a partition V (G) = k i=1 Vi such that e(G[Vi]) e(G)/ k+1 2 for i = 1 demand 1 #12;that e(G[Vi]) be fairly close to e(G)/k2 , for i = 1, . . . , k, and that e(Vi, Vj) be fairly close to 2e(G)/k2 , for 1 i

Scott, Alexander Alexander

380

A Spatiotemporal Graph Model for Rainfall Event Identification and Representation  

E-Print Network [OSTI]

of a storm ? The spread of a wildfire ? Other dynamic geographic phenomena from time series of snapshot datasets 3Research Objectives Identify the whole lifecycle of rainstorms from time series of snapshot datasets; Represent and analyze the rainstorms... based on a spatiotemporal graph model; Analyze the spatiotemporal characteristics of rainstorms. Data ? NEXRAD (Next generation Radar) ? Hourly precipitation estimate ? Cover more than 2/3 of the nation Rainstorms Lifecycle Identification Delineate...

Liu, Weibo

2014-04-21T23:59:59.000Z

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Hanford Advisory Board Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuided Self-Assembly of

382

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR

383

NREL: Computational Science Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two yearsNPResultsPhoto

384

NREL: Continuum Magazine Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two Continuum is the National Renewable

385

NREL: Continuum Magazine Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two Continuum is the National

386

NREL: Geothermal Technologies Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National NuclearoverAcquisition SystemGeothermal

387

TTW - PageMaker 2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIES TECHNOLOGIES Signing

388

Pages 21-23 of Penney  

E-Print Network [OSTI]

Note that MATLAB repeats our matrix, indicating that it has understood us. ... the same graph, and axis([-5,5,~5,5]) tells MATLAB to show the range -5 _<_ x g 5.

389

STUDENT ID Page 2 m  

E-Print Network [OSTI]

Write your name, student ID number, recitation instructor's name and recitation time in the space provided above. Also write your name at the top of pages 2, 3,...

390

Kevin L. Rotz's Web Page  

E-Print Network [OSTI]

Kevin's Page. My name is Kevin L. Rotz, and I am currently a sixth year graduate student in the Purdue University Department of Mathematics. During the spring...

391

Department of Energy Home Page  

Office of Scientific and Technical Information (OSTI)

US DEPARTMENT OF ENERGY Search Home Page Contents ABOUT DOE About The Department of Energy (Learn about the Department of Energy, its mission, plans, organizational structure,...

392

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014November 7,MeetingPage

393

Page 1 of 3 INSTRUCTIONS  

E-Print Network [OSTI]

/Dean Alts · Click . · Enter SHARE for SetID if not prepopulated. · Search for and select the OMNI Userid/29/2008 The terms "Chair" and "Dean" are used generically to represent unit hierarchy. A new page (Grants. #12;Page 2 of 3 · Do not change Eff Date or Status. · Search for and select the OMNI Userid

McQuade, D. Tyler

394

Page (Total 4) Philadelphia University  

E-Print Network [OSTI]

description: This is an elective course in the old study plane but an obligate course for the new study plane, peptides, proteins - Protein biochemistry and structure. - Proteomics vs. protein biochemistry. Pages 1 Sources: -Recombinant vs. non-recombinant. Pages 51-88 (4) Recombinant Proteins (The different systems

395

Page 1 of 100 Full Screen  

E-Print Network [OSTI]

()d. #12;Home Page Title Page Contents Page 7 of 100 Go Back Full Screen Close Quit The behavior of bothHome Page Title Page Contents Page 1 of 100 Go Back Full Screen Close Quit Scenario Generation Uncertainty Quantification in Industrial and Energy Applications: Experiences and Challenges, Minneapolis

Römisch, Werner

396

Semi-classical measures on Quantum graphs and the Gau map of the determinant manifold  

E-Print Network [OSTI]

believed that QE does not hold in general for a FIXED quantum graph. In [BKW04], it is proved that QE does

Boyer, Edmond

397

Materials for Math 13900 Bring to class each day: graph paper ...  

E-Print Network [OSTI]

Materials for Math 13900. Bring to class each day: graph paper isometric dot paper unlined paper cm ruler. We will also be using: compass small scissors.

Roames, Renee S

2015-01-08T23:59:59.000Z

398

Mountain Promise page 1 ountain PromisM e  

E-Print Network [OSTI]

Community supported agriculture page 6 Organic vs. conventional page 9 Industrial hemp page 12 toolbox

Baltisberger, Jay H.

399

Web Page Error 404.1 Page Cannot be Found  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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400

Web Page Error 500 Page Cannot Be Displayed  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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401

Hanford Advisory Board Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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402

Hanford Advisory Board Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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403

Hanford Advisory Board Page 1  

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404

Hanford Advisory Board Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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405

Hanford Advisory Board Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuided Self-Assembly ofSeptember 4-5, 2014 FINAL MEETING

406

Hanford Advisory Board Page 1  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuided Self-Assembly ofSeptember 4-5, 2014 FINAL

407

Hanford Advisory Board Page 1  

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408

Hanford Advisory Board Page 1  

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409

Hanford Advisory Board Page 1  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuided Self-Assembly ofSeptember 4-5, 2014

410

Hanford Advisory Board Page 1  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuided Self-Assembly ofSeptember 4-5, 2014February 7-8, 2013

411

Hosting Web Pages at NERSC  

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412

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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413

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY HANFORD

414

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY HANFORDJanuary 8,

415

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY HANFORDJanuary

416

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY HANFORDJanuary9,

417

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY

418

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014 FINAL

419

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014 FINALMay

420

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014Draft

422

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014Draft3, 2011

423

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014Draft3,

424

Tank Waste Committee Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR8, 2013 FINAL MEETING SUMMARY7, 2014Draft3,March

425

NREL: Biomass Research Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two yearsNPResultsPhoto of a technician

426

NREL: Buildings Research Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two yearsNPResultsPhoto of a

427

NREL: Education Center Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two ContinuumSolarHours,Webmaster ToPhoto

428

NREL: International Activities Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National NuclearoverAcquisitionEnergy Sponsors and Partners NREL

429

NREL: Research Facilities Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F. Geisz, Ph.D.Solar EnergyRenewable Resource

430

NREL: Solar Research Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F. Geisz, Ph.D.Solar EnergyRenewableSolar Research

431

NREL: Sustainable NREL Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F. Geisz, Ph.D.SolarRequest AssistanceStateAerial

432

NREL: Technology Deployment Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F. Geisz,Aerial photo of the U.S. Virgin Islands

433

NREL: Technology Transfer Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F. Geisz,Aerial photo of

434

NREL: Transportation Research Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F. Geisz,Aerial photo ofStudySilver Toyota

435

Legal Management Tracking System Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C H N I CLegacy Claims,

436

Search for: graphene | DOE PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2) Sr (2)ScienceScientists InSearch

437

Search for: superconduct* | DOE PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2) Sr (2)ScienceScientists InSearchsuperconduct* Find + Advanced

438

SSRL Accelerator Phycics Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 ResourceAwards SAGE AwardsNA-0019 StewardshipSSRL FY2001

439

ARM - Low Bandwidth Data Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUC : XDCResearch Related InformationAcid RainThe Pacific and ElWhenYourLinksLow

440

Power Systems Group Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006PhotovoltaicSeptember 22,ReactorAbout Power >

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Site Management Plan Page 1  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$0.C.Green River, Utah,Tuba City,'1 ~(3JlpV40s

442

SRS -Structural Science Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORTSORNRecovery ActR E Q U E N CStructural

443

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal Exam NovemberGreen Zia

444

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal Exam NovemberGreen ZiaRiver

445

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal Exam NovemberGreen

446

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal Exam NovemberGreenNovember

447

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal Exam

448

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11, 2014 FINAL

449

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11, 2014

450

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11, 20141, 2015

451

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11, 20141,

452

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11, 20141,March

453

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11,

454

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11,August 9,

455

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11,August

456

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember 11,AugustMarch

457

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecember

458

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecemberSeptember 3,

459

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal ExamDecemberSeptember

460

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINAL MEETING SUMMARY

462

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINAL MEETING

463

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINAL MEETINGRiver

464

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINAL

465

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6, 2013

466

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6, 20138,

467

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6,

468

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6,8, 2012

469

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6,8,

470

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6,8,7,

471

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6,8,7,9,

472

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch 6,8,7,9,9,

473

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarch

474

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarchNovember

475

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014 FINALMarchNovember9,

476

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014

477

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014November 7, 2012 FINAL

478

Final Meeting Summary Page 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office ProgramsFinal7, 2014November 7, 2012

479

Untitled Page -- Considered Sites Summary  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou are here Home » Sites » Sites Pending Transfer

480

Untitled Page -- Other Sites Summary  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou are here Home » Sites » Sites Pending

Note: This page contains sample records for the topic "graph pages mer" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

TTW - PageMaker 2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIES TECHNOLOGIES Signing ceremony5,

482

TTW - PageMaker 2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIES TECHNOLOGIES Signing ceremony5,2,

483

2014 WIPP Stakeholder Information Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next ReleaseEFRC NEESShockOpticsNIFU STUNL4

484

APS Technical Systems Monitoring Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011AstudiesRing Under Maintenance OperationsPhoton

485

2008 report transmittal letter page  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley Responsible DOEQA: NAPlan 2006 Department of U.S.

486

NREL: Business Opportunities Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies The National Renewable

487

NREL: Energy Analysis Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies The Insights In

488

NREL: Innovation Impact Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies The Insights

489

NREL: Photovoltaics Research Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies The National Center

490

NREL: Wind Research Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies TheState

491

Department of Energy Home Page  

Office of Scientific and Technical Information (OSTI)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: Crystal structureComposite--FOR IMMEDIATE RELEASE April 13, 2000 NEWS FORUS

492

Sandia National Laboratories: Page Title  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLSMolten-SaltReliability PVracks

493

Biofuels and Renewable Energy Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformationCenterResearch HighlightsToolsBESEnergy Department to Renewable Energy Home

494

NREL: Energy Sciences Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions and Achievements ofLiz Torres PhotoMaterials Science Learn about

495

Search for: supernovae | DOE PAGES  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmitted forHighlights Nuclear PhysicsDo youTim MorrisDept of Energy,

496

Zippy_4page.pmd  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste andAnniversary, part 2Zenoss, VersionThe Role of Turbulence 4 2 3

497

Computing at SSRL Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New SubstationCleanCommunity2 Computational PhysicsComputing andResources This

498

Microsoft Word - page_abstract  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 -3 Subject: TridentSummary:23:3,NSIBefore7, at

499

Upper Great Plains Home page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduledProductionCCEIResearch Upper Great Plains Service

500

AES-UES Home Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations During the months3 EarlyRev. 8,2,1,4,3,2,