kambasana / Mads.jl

Model Analysis & Decision Support

MADS (Model Analysis & Decision Support)

MADS is an open-source Julia code designed as an integrated high-performance computational framework performing a wide range of model-based analyses:

• Sensitivity Analysis
• Parameter Estimation
• Model Inversion and Calibration
• Uncertainty Quantification
• Model Selection and Averaging
• Decision Support

MADS utilizes adaptive rules and techniques which allows the analyses to be performed with minimum user input. The code provides a series of alternative algorithms to perform each type of model analyses.

Documentation

All the available MADS modules and functions are described at madsjulia.github.io

Installation

After starting Julia, execute:

Pkg.add("Mads")

Installation of MADS behind a firewall

Julia uses git for package management. Add in the .gitconfig file in your home directory:

[url "https://"]
        insteadOf = git://

or execute:

git config --global url."https://".insteadOf git://

Set proxies:

export ftp_proxy=http://proxyout.<your_site>:8080
export rsync_proxy=http://proxyout.<your_site>:8080
export http_proxy=http://proxyout.<your_site>:8080
export https_proxy=http://proxyout.<your_site>:8080
export no_proxy=.<your_site>

For example, if you are doing this at LANL, you will need to execute the following lines in your bash command-line environment:

export ftp_proxy=http://proxyout.lanl.gov:8080
export rsync_proxy=http://proxyout.lanl.gov:8080
export http_proxy=http://proxyout.lanl.gov:8080
export https_proxy=http://proxyout.lanl.gov:8080
export no_proxy=.lanl.gov

MADS examples

In Julia REPL, do the following commands:

import Mads

To explore getting-started instructions, execute:

Mads.help()

There are various examples located in the examples directory of the Mads repository.

For example, execute

include(Mads.madsdir * "/../examples/contamination/contamination.jl")

to perform various analyses related to contaminant transport, or execute

include(Mads.madsdir * "/../examples/bigdt/bigdt.jl")

to perform BIG-DT analysis.