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UQTk Version 3.0.4 User Manual

Sargsyan, Khachik S.; Safta, Cosmin S.; Chowdhary, Kamaljit S.; Castorena, Sarah; De Bord, Sarah; Debusschere, Bert D.

The UQ Toolkit (UQTk) is a collection of libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.0.4 offers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sensitivity analysis, 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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TYPE SAND Report YEAR 2017
DOIOSTI

Intrusive polynomial chaos methods for forward uncertainty propagation

Handbook of Uncertainty Quantification

Debusschere, Bert D.

Polynomial chaos (PC)-based intrusive methods for uncertainty quantification reformulate the original deterministic model equations to obtain a system of equations for the PC coefficients of the model outputs. This system of equations is larger than the original model equations, but solving it once yields the uncertainty information for all quantities in the model. This chapter gives an overview of the literature on intrusive methods, outlines the approach on a general level, and then applies it to a system of three ordinary differential equations that model a surface reaction system. Common challenges and opportunities for intrusive methods are also highlighted.

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TYPE Book YEAR 2017
OSTIScopus

UQTk Version 3.0.3 User Manual

Sargsyan, Khachik S.; Safta, Cosmin S.; Chowdhary, Kamaljit S.; Castorena, Sarah; De Bord, Sarah; Debusschere, Bert D.

The UQ Toolkit (UQTk) is a collection of libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.0.3 offers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sen- sitivity analysis, 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.

More Details
TYPE SAND Report YEAR 2017
DOIOSTI
Results 51–75 of 275
Results 51–75 of 275