Archive Files

巻 10, 2020 / 発行 5

Special Issue: Multilevel-Multifidelity Approaches for Uncertainty Quantification Part 1
Guest Editors: Gianluca Geraci, Gianluca Iaccarino, and Michael Eldred

DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i5

Table of Contents:

FOREWORD: SPECIAL ISSUE ON MULTILEVEL-MULTIFIDELITY APPROACHES FOR UNCERTAINTY QUANTIFICATION Michael S. Eldred, Gianluca Geraci, Gianluca Iaccarino

Michael S. Eldred
Optimization and Uncertainty Quantification, Sandia National Laboratories, Albuquerque,NM, 87185, USA

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

Gianluca Iaccarino
Department of Mechanical Engineering Institute for Computational Mathematical Engineering Stanford University Bldg 500, RM 500-I, Stanford CA 94305 - USA

v-ix ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020036984

DATA-CONSISTENT SOLUTIONS TO STOCHASTIC INVERSE PROBLEMS USING A PROBABILISTIC MULTI-FIDELITY METHOD BASED ON CONDITIONAL DENSITIES L. Bruder, M. W. Gee, Timothy Wildey

L. Bruder
Mechanics and High Performance Computing Group, Technical University of Munich, Parkring 35, 85748 Garching, Germany

M. W. Gee
Mechanics & High Performance Computing Group, Technical University of Munich, Parkring 35, 85748 Garching, Germany

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

399-424 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020030092

MULTI-FIDELITY MODELING OF PROBABILISTIC AERODYNAMIC DATABASES FOR USE IN AEROSPACE ENGINEERING Jayant Mukhopadhaya, Brian T. Whitehead, John F. Quindlen, Juan J. Alonso, Andrew W. Cary

Jayant Mukhopadhaya
Stanford University, Stanford, California, 94305, USA

Brian T. Whitehead
The Boeing Company, Seattle, Washington, 98108, USA

John F. Quindlen
The Boeing Company, Seattle, Washington, 98108, USA

Juan J. Alonso
Stanford University, Stanford, California, 94305, USA

Andrew W. Cary
The Boeing Company, Seattle, Washington, 98108, USA

425-447 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032841

MULTIFIDELITY ESTIMATORS FOR CORONARY CIRCULATION MODELS UNDER CLINICALLY INFORMED DATA UNCERTAINTY Jongmin Seo, Casey Fleeter, Andrew M. Kahn, Alison L. Marsden, Daniele E. Schiavazzi

Jongmin Seo
Department of Pediatrics (Cardiology), Bioengineering and ICME, Stanford University, Stanford, California, USA

Casey Fleeter
Institue for Computational Mathematics and Engineering, Stanford University, Stanford, California, USA

Andrew M. Kahn
Department of Medicine, University of California San Diego, La Jolla, California, USA

Alison L. Marsden
Department of Pediatrics (Cardiology), Bioengineering and ICME, Stanford University, Stanford, California, USA

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

449-466 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033068

VARIANCE REDUCTION METHODS AND MULTILEVEL MONTE CARLO STRATEGY FOR ESTIMATING DENSITIES OF SOLUTIONS TO RANDOM SECOND-ORDER LINEAR DIFFERENTIAL EQUATIONS Marc Jornet , Julia Calatayud, Olivier P. Le Maître, Juan Carlos Cortés

Marc Jornet
Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, Camí de Vera s/n, 46022, Valencia, Spain

Julia Calatayud
Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, Camí de Vera s/n, 46022, Valencia, Spain

Olivier P. Le Maître
CMAP, CNRS, INRIA, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France

Juan Carlos Cortés
Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, Camí de Vera s/n, 46022, Valencia, Spain

467-497 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032659

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