skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Mads.jl

Abstract

Mads.jl (Model analysis and decision support in Julia) is a code that streamlines the process of using data and models for analysis and decision support. It is based on another open-source code developed at LANL and written in C/C++ (MADS; http://mads.lanl.gov; LA-CC-11- 035). Mads.jl can work with external models of arbitrary complexity as well as built-in models of flow and transport in porous media. It enables a number of data- and model-based analyses including model calibration, sensitivity analysis, uncertainty quantification, and decision analysis. The code also can use a series of alternative adaptive computational techniques for Bayesian sampling, Monte Carlo, and Bayesian Information-Gap Decision Theory. The code is implemented in the Julia programming language, and has high-performance (parallel) and memory management capabilities. The code uses a series of third party modules developed by others. The code development will also include contributions to the existing third party modules written in Julia; this contributions will be important for the efficient implementation of the algorithm used by Mads.jl. The code also uses a series of LANL developed modules that are developed by Dan O'Malley; these modules will be also a part of the Mads.jl release. Mads.jl will be released under GPL V3 license.more » The code will be distributed as a Git repo at gitlab.com and github.com. Mads.jl manual and documentation will be posted at madsjulia.lanl.gov.« less

Authors:
 [1];  [1];  [1];  [1]
  1. LANL
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
Los Alamos National Laboratory (LANL)
OSTI Identifier:
1326623
Report Number(s):
Mads.jl; 004932MLTPL00
C16008
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Software
Software Revision:
00
Software Package Number:
004932
Software CPU:
MLTPL
Open Source:
Yes
Open Source under the GPLv3 License
Source Code Available:
No
Country of Publication:
United States

Citation Formats

Vesselinov, Velimir, O'Malley, Daniel, Lin, Youzuo, and Vesselinova, Neda. Mads.jl. Computer software. https://www.osti.gov//servlets/purl/1326623. Vers. 00. USDOE. 1 Jul. 2016. Web.
Vesselinov, Velimir, O'Malley, Daniel, Lin, Youzuo, & Vesselinova, Neda. (2016, July 1). Mads.jl (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1326623.
Vesselinov, Velimir, O'Malley, Daniel, Lin, Youzuo, and Vesselinova, Neda. Mads.jl. Computer software. Version 00. July 1, 2016. https://www.osti.gov//servlets/purl/1326623.
@misc{osti_1326623,
title = {Mads.jl, Version 00},
author = {Vesselinov, Velimir and O'Malley, Daniel and Lin, Youzuo and Vesselinova, Neda},
abstractNote = {Mads.jl (Model analysis and decision support in Julia) is a code that streamlines the process of using data and models for analysis and decision support. It is based on another open-source code developed at LANL and written in C/C++ (MADS; http://mads.lanl.gov; LA-CC-11- 035). Mads.jl can work with external models of arbitrary complexity as well as built-in models of flow and transport in porous media. It enables a number of data- and model-based analyses including model calibration, sensitivity analysis, uncertainty quantification, and decision analysis. The code also can use a series of alternative adaptive computational techniques for Bayesian sampling, Monte Carlo, and Bayesian Information-Gap Decision Theory. The code is implemented in the Julia programming language, and has high-performance (parallel) and memory management capabilities. The code uses a series of third party modules developed by others. The code development will also include contributions to the existing third party modules written in Julia; this contributions will be important for the efficient implementation of the algorithm used by Mads.jl. The code also uses a series of LANL developed modules that are developed by Dan O'Malley; these modules will be also a part of the Mads.jl release. Mads.jl will be released under GPL V3 license. The code will be distributed as a Git repo at gitlab.com and github.com. Mads.jl manual and documentation will be posted at madsjulia.lanl.gov.},
url = {https://www.osti.gov//servlets/purl/1326623},
doi = {},
year = {Fri Jul 01 00:00:00 EDT 2016},
month = {Fri Jul 01 00:00:00 EDT 2016},
note =
}

Software:
To order this software, request consultation services, or receive further information, please fill out the following request.

Save / Share:

To initiate an order for this software, request consultation services, or receive further information, fill out the request form below. You may also reach us by email at: .

OSTI staff will begin to process an order for scientific and technical software once the payment and signed site license agreement are received. If the forms are not in order, OSTI will contact you. No further action will be taken until all required information and/or payment is received. Orders are usually processed within three to five business days.

Software Request

(required)
(required)
(required)
(required)
(required)
(required)
(required)
(required)