Текущий год

Том 14, 2024 / Выпуск 5

DOI: 10.1615/Int.J.UncertaintyQuantification.v14.i5

Table of Contents:

ANALYSIS OF THE CHALLENGES IN DEVELOPING SAMPLE-BASED MULTIFIDELITY ESTIMATORS FOR NONDETERMINISTIC MODELS Bryan W. Reuter, Gianluca Geraci, Timothy Wildey

Bryan W. Reuter
Sandia National Laboratories

Gianluca Geraci
Optimization and Uncertainty Quantification, Sandia National Laboratories, Albuquerque,New Mexico, 87185, USA

Timothy Wildey
Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185

1-30 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2024050125

UNCERTAINTY ANALYSIS FOR EVOLUTION EQUATIONS Greta Marino, Alois Pichler, Jan-Frederik Pietschmann

Greta Marino
Universität Augsburg

Alois Pichler
Technische Universität Chemnitz, Fakultät für Mathematik, Chemnitz, Germany

Jan-Frederik Pietschmann
University of Augsburg

31-59 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2024039459

STRUCTURE-PRESERVING MODEL ORDER REDUCTION OF RANDOM PARAMETRIC LINEAR SYSTEMS VIA REGRESSION Xiaolong Wang, Siqing Liu

Xiaolong Wang
Northwestern Polytechnical University

Siqing Liu
School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China

61-84 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2024048898

SOLVING STOCHASTIC INVERSE PROBLEMS FOR CFD USING DATA-CONSISTENT INVERSION AND AN ADAPTIVE STOCHASTIC COLLOCATION METHOD Hector Amino, Anca Claudia Belme, Jean-Camille Chassaing, Timothy Wildey

Hector Amino
EDF Research and Development

Anca Claudia Belme
Sorbonne University

Jean-Camille Chassaing
Institut Jean Le Rond d'Alembert Sorbonne Univ, UPMC Univ Paris 06 and CNRS, UMR 7190 Paris, F-75005, France

Timothy Wildey
Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185

85-107 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2024049566

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