Open AccessROBUST UNCERTAINTY QUANTIFICATION USING RESPONSE SURFACE APPROXIMATIONS OF DISCONTINUOUS FUNCTIONS
Author(s) -
Timothy Wildey,
Alex Gorodetsky,
Anca Belme,
John N. Shadid
Publication year - 2019
Publication title -
international journal for uncertainty quantification
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 21
eISSN - 2152-5099
pISSN - 2152-5080
DOI - 10.1615/int.j.uncertaintyquantification.2019026974
Subject(s) - discontinuity (linguistics) , classification of discontinuities , uncertainty quantification , probabilistic logic , computer science , voronoi diagram , surface (topology) , algorithm , mathematics , artificial intelligence , machine learning , geometry , mathematical analysis
1Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185. The views expressed in the article do not necessarily represent the views of the U.S. Department of Energy or the United States Government. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525. 2University of Michigan, Department of Aerospace Engineering, Ann Arbor, MI 48109 3Sorbonne Université, CNRS, UMR 7190, Institut Jean le Rond d’Alembert, F-75005 Paris, France 4Computational Mathematics Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185. Department of Mathematics and Statistics, University of New Mexico
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