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montyvesselinov authored Dec 15, 2023
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BIGUQ
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# BIGUQ

BIGUQ pefroms Bayesian Information Gap Decision Theory (BIG-DT) analysis for Uncertainty Quantification, Experimental Design and Decision Analysis.
BIGUQ performs Bayesian Information Gap Decision Theory (BIG-DT) analysis for Uncertainty Quantification, Experimental Design, and Decision Analysis.
BIGUQ is a module of [MADS](http://madsjulia.github.io/Mads.jl).

Example
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* Model Selection and Model Averaging
* Model Reduction and Surrogate Modeling
* Machine Learning and Blind Source Separation
* Risk Assessment
* Decision Analysis and Support

MADS has been tested to perform HPC simulations on a wide-range multi-processor clusters and parallel environments (Moab, Slurm, etc.).
MADS has been tested to perform HPC simulations of a wide range of multi-processor clusters and parallel environments (Moab, Slurm, etc.).
MADS utilizes adaptive rules and techniques which allows the analyses to be performed with a minimum user input.
The code provides a series of alternative algorithms to execute each type of data- and model-based analyses.
The code provides a series of alternative algorithms to execute each type of data- and model-based analysis.

Documentation
=============
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Installation behind a firewall
------------------------------

Julia uses git for the package management.
Julia uses git for package management.
To install Julia packages behind a firewall, add the following lines in the `.gitconfig` file in your home directory:

```git
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