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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 pages
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 pages
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 pages
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 pages
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 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032659
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