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Exploring Advanced Embedded Uncertainty Quantification methods in Xyce
Author(s) -
Eric Keiter,
Karthik Aadithya,
Ting Mei,
Heidi Thornquist,
Peter Sholander,
Ian Wilcox
Publication year - 2019
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - Uncategorized
Resource type - Reports
DOI - 10.2172/1569158
Subject(s) - polynomial chaos , computer science , uncertainty quantification , work (physics) , operations research , systems engineering , engineering , mathematics , machine learning , statistics , mechanical engineering , monte carlo method

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