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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
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 = 2016,
month = 7,
note =
}

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