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Title: MADSpython 1.x

MADSpython (Model analysis and decision support tools in Python) is a code in Python that streamlines the process of using data and models for analysis and decision support using the code MADS. MADS is open-source code developed at LANL and written in C/C++ (MADS; http://mads.lanl.gov; LA-CC-11-035). MADS can work with external models of arbitrary complexity as well as built-in models of flow and transport in porous media. The Python scripts in MADSpython facilitate the generation of input and output file needed by MADS as wells as the external simulators which include FEHM and PFLOTRAN. MADSpython enables a number of data- and model-based analyses including model calibration, sensitivity analysis, uncertainty quantification, and decision analysis. MADSpython will be released under GPL V3 license. MADSpython will be distributed as a Git repo at gitlab.com and github.com. MADSpython manual and documentation will be posted at http://madspy.lanl.gov.
Authors:
 [1] ;  [1]
  1. LANL
Publication Date:
OSTI Identifier:
1333190
Report Number(s):
MADSpython; 005041MLTPL00
C16116
DOE Contract Number:
AC52-06NA25396
Software Revision:
00
Software Package Number:
005041
Software CPU:
MLTPL
Open Source:
Yes
Open Source under the GPL v3 License.
Source Code Available:
Yes
Related Software:
MADS
Research Org:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Contributing Orgs:
Los Alamos National Laboratory (LANL)
Country of Publication:
United States

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