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ISSN 印刷: 2152-5080
ISSN オンライン: 2152-5099
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DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i3
Table of Contents:
PREFACE
Nicholas Zabaras
Nicholas Zabaras
Department of Mechanical and Aerospace Engineering, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA; University of Warwick, Coventry CV4 7AL, UK
vii ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i3.10
DIFFERENTIAL CONSTRAINTS FOR THE PROBABILITY DENSITY FUNCTION OF STOCHASTIC SOLUTIONS TO THE WAVE EQUATION
Daniele Venturi, George Em Karniadakis
Daniele Venturi
Department of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA 95064, USA
George Em Karniadakis
School of Engineering, Brown University, Providence, Rhode Island, 02912,
USA; Division of Applied Mathematics, Brown University, Providence, Rhode Island,
02912, USA
195-213 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2011003485
PARALLEL ADAPTIVE MULTILEVEL SAMPLING ALGORITHMS FOR THE BAYESIAN ANALYSIS OF MATHEMATICAL MODELS
Ernesto Prudencio, Sai Hung Cheung
Ernesto Prudencio
Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, Texas, USA
Sai Hung Cheung
School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
215-237 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2011003499
STATE ESTIMATION PROBLEMS IN HEAT TRANSFER
Helcio Rangel Barreto Orlande, Marcelo Jose Colaço, George S. Dulikravich, Flavio Vianna, Wellington Betencurte da Silva, Henrique M. Fonseca, Olivier Fudym
Helcio Rangel Barreto Orlande
Department of Mechanical Engineering, Politecnica/COPPE, Federal University of Rio de Janeiro - UFRJ, Caixa Postal: 68503, Cidade Universitaria, Rio de Janeiro, RJ, 21941-972, Brazil; Nanotechnology Eng. Program, COPPE, Federal University of Rio de Janeiro, Brazil
Marcelo Jose Colaço
Department of Mechanical Engineering, Federal University of Rio de Janeiro, UFRJ, Technology Center, Bloco G – Cidade Universitaria da UFRJ, Ilha do Governador, Rio de Janeiro/RJ, 21941-909, Brazil
George S. Dulikravich
none (retired)
Flavio Vianna
Department of Subsea Technology, Petrobras Research and Development Center−CENPES, Av. Horacio Macedo, 950, Cidade Universitaria, Ilha do Fundao, 21941-915, Rio de Janeiro, RJ, Brazil
Wellington Betencurte da Silva
Department of Mechanical Engineering, Politecnica/COPPE, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, 21941-972, Brazil; Universite de Toulouse, Mines Albi, CNRS, Centre RAPSODEE, Campus Jarlard, F-81013 Albi cedex 09, France; Mechanical Engineering Department, Federal University of Espirito Santo, UFES. Alto Universitario, Guararema, Alegre/ES, 29.500-999, Brazil
Henrique M. Fonseca
Department of Mechanical Engineering, Politecnica/COPPE, Federal University of Rio de Janeiro, UFRJ, Cid. Universitaria, Cx. Postal: 68503, Rio de Janeiro, RJ, 21941-972, Brazil; Department of Mechanical Engineering, Fluminense Federal University - Volta Redonda, Brazil
Olivier Fudym
Universite de Toulouse, Mines Albi, CNRS, Centre RAPSODEE, Campus Jarlard, F-81013
Albi cedex 09, France
239-258 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003582
EFFECTIVE PARAMETRIZATION FOR RELIABLE RESERVOIR PERFORMANCE PREDICTIONS
Xiao-Hui Wu, Linfeng Bi, Subhash Kalla
Xiao-Hui Wu
ExxonMobil Upstream Research Company, P. O. Box 2189, Houston, TX 77252, USA
Linfeng Bi
ExxonMobil Upstream Research Company, P. O. Box 2189, Houston, TX 77252, USA
Subhash Kalla
ExxonMobil Upstream Research Company, P. O. Box 2189, Houston, TX 77252, USA
259-278 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003765
𝓁1-MINIMIZATION">STOCHASTIC COLLOCATION ALGORITHMS USING 𝓁1-MINIMIZATION
Liang Yan, Ling Guo, Dongbin Xiu
Liang Yan
Department of Mathematics, Southeast University, Nanjing, 210096, China
Ling Guo
Department of Mathematics, Shanghai Normal University, No. 100 Guilin Road, Shanghai 200234, China
Dongbin Xiu
Ohio State University
279-293 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003925
SENSITIVITY ANALYSIS FOR THE OPTIMIZATION OF RADIOFREQUENCY ABLATION IN THE PRESENCE OF MATERIAL PARAMETER UNCERTAINTY
Inga Altrogge, Tobias Preusser, Tim Kroger, Sabrina Haase, Torben Patz, Robert Mike Kirby
Inga Altrogge
Center of Complex Systems and Visualization, University of Bremen, Germany
Tobias Preusser
Fraunhofer MEVIS; and School of Engineering and Science, Jacobs University, Bremen, Germany
Tim Kroger
Georg Simon Ohm University of Applied Sciences, Nuremberg, Germany
Sabrina Haase
Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany
Torben Patz
School of Engineering and Science, Jacobs University Bremen; Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany
Robert Mike Kirby
School of Computing, and Scientific Computing and Imaging (SCI) Institute, Salt Lake City,
Utah, 84112, USA
295-321 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2012004135
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