Архив

Том 13, 2023 / Выпуск 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v13.i3

Table of Contents:

SHAPLEY EFFECT ESTIMATION IN RELIABILITY-ORIENTED SENSITIVITY ANALYSIS WITH CORRELATED INPUTS BY IMPORTANCE SAMPLING Julien Demange-Chryst, François Bachoc, Jérôme Morio

Julien Demange-Chryst
Institut de Mathématiques de Toulouse, UMR5219 CNRS, 31062 Toulouse, France; ONERA/DTIS, Université de Toulouse, F-31055 Toulouse, France

François Bachoc
Institut de Mathématiques de Toulouse, UMR5219 CNRS, 31062 Toulouse, France

Jérôme Morio
ONERA/DTIS, Université de Toulouse, F-31055 Toulouse, France

1-37 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2022043692

AdaAnn: ADAPTIVE ANNEALING SCHEDULER FOR PROBABILITY DENSITY APPROXIMATION Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu, Daniele E. Schiavazzi

Emma R. Cobian
Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana 46556, USA

Jonathan D. Hauenstein
Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana 46556, USA

Fang Liu
Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana 46556, USA

Daniele E. Schiavazzi
Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana 46556, USA

39-68 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2022043110

CONTROL VARIATE POLYNOMIAL CHAOS: OPTIMAL FUSION OF SAMPLING AND SURROGATES FOR MULTIFIDELITY UNCERTAINTY QUANTIFICATION Hang Yang, Yuji Fujii, K. W. Wang, Alex A. Gorodetsky

Hang Yang
Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48105, USA

Yuji Fujii
Research and Advanced Engineering, Ford Motor Company, Dearborn, Michigan 48105, USA

K. W. Wang
Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48105, USA

Alex A. Gorodetsky
Department of Aerospace Engineering, University of Michigan, Ann Arbor, Michigan 48105, USA

69-100 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2022043638

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