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Tools for Uncertainty Quantification

Project description

This is a collection of tools for Uncertainty Quantification

Features:
  • Sampling methods (Monte Carlo, Latin Hypercube, Quasi Monte Carlo) with MPI support
  • Tools for Generalized Polynomial Chaos
  • Probabilistic Collocation Method
  • Multi-element Probabilistic Collocation Method
  • High Dimensional Model Representation
  • ANOVA
  • Global Sensitivity (Total Sensitivity Indices)
  • Model reduction (Karhunen–Loève expansion)

Status

PyPi:

http://southpacific.no-ip.org:8080/buildStatus/icon?job=pypi-UQToolbox

LaunchPad:

http://southpacific.no-ip.org:8080/buildStatus/icon?job=UQToolbox

TestPyPi:

http://southpacific.no-ip.org:8080/buildStatus/icon?job=testpypi-UQToolbox

Requirements

Some parts of the software require the SpectralToolbox. The package has automatically MPI support through mpi4py and mpi_map.

Installation

Make sure you have the latest version of pip:

$ pip install –upgrade pip

Install running:

$ pip install UQToolbox

Some users might want to install the toolbox without MPI support. This is possible, but not through the pip command:

$ pip download UQToolbox

$ cd /pth/to/downloaded/files

$ tar xzf UQToolbox-x.x.x.tar.gz

$ cd UQToolbox-x.x.x

$ python setup.py install –without-mpi4py

Test Installation

You can test whether all the functionalities work by running the unit tests.

>>> import UQToolbox
>>> UQToolbox.RunUnitTests(maxprocs=None,PLOTTING=True)

where maxprocs defines the number of processors to be used if MPI support is activated. Be patient. The number of unit tests grows with the number of functionalities implemented in the software.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
UQToolbox-1.0.3.tar.gz (65.3 kB) Copy SHA256 hash SHA256 Source None

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