Original paper

Comparison of Statistical and Deterministic Frameworks of Uncertainty Quantification

Volume: 4, Issue: 1, Pages: 875 - 901
Published: Jan 1, 2016
Abstract
Two different approaches to the prediction problem are compared employing a realistic example---combustion of natural gas---with 102 uncertain parameters and 76 quantities of interests. One approach, termed bound-to-bound data collaboration (abbreviated to B2B), deploys semidefinite programming algorithms where the initial bounds on unknowns are combined with initial bounds of experimental data to produce new uncertainty bounds for the unknowns...
Paper Details
Title
Comparison of Statistical and Deterministic Frameworks of Uncertainty Quantification
Published Date
Jan 1, 2016
Volume
4
Issue
1
Pages
875 - 901
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