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U.S. Department of Energy
Office of Scientific and Technical Information

Mads.jl

Software ·
OSTI ID:1326623
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.
Short Name / Acronym:
Mads.jl; 004932MLTPL00
Project Type:
Open Source under the GPLv3 License
Site Accession Number:
C16008
Version:
00
Programming Language(s):
Medium: X; OS: Windows since XP SP2, OS X 10.7 and later, Ubuntu 12.04 or later, RHEL, CentOS
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
Contributing Organization:
Los Alamos National Laboratory (LANL)
DOE Contract Number:
AC52-06NA25396
OSTI ID:
1326623
Country of Origin:
United States

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