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UQTk version 2.0 user manual
Author(s) -
Bert Debusschere,
Khachik Sargsyan,
Cosmin Safta
Publication year - 2013
Language(s) - English
Resource type - Reports
DOI - 10.2172/1115280
Subject(s) - computer science , inference , uncertainty quantification , sensitivity (control systems) , process (computing) , data mining , bayesian inference , bayesian probability , programming language , machine learning , artificial intelligence , engineering , electronic engineering
The UQ Toolkit (UQTk) is a collection of libraries and tools for the quanti cation of uncer- tainty in numerical model predictions. Version 2.0 o ers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sensitivity anal- ysis, methods for sparse surrogate construction, and Bayesian inference tools for inferring parameters from experimental data. This manual discusses the download and installation process for UQTk, provides pointers to the UQ methods used in the toolkit, and describes some of the examples provided with the toolkit.

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