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ISSN 打印: 2152-5080
ISSN 在线: 2152-5099
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DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i1
Table of Contents:
GLOBAL SENSITIVITY ANALYSIS: AN EFFICIENT NUMERICAL METHOD FOR APPROXIMATING THE TOTAL SENSITIVITY INDEX
Matieyendou Lamboni
Matieyendou Lamboni
University of Guyane, Department DFRST, 2091 route de Baduel, 97346 Cayenne Cedex,
French Guiana (present address); 228-UMR Espace-Dev, 275 route de Montabo, 97323 Cayenne Cedex, French Guiana (present address); EC-Joint Research Centre, Institute for Environment and Sustainability, Via Fermi 2749, 21027 Ispra, Italy
1-17 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2016012354
AN EFFICIENT MESH-FREE IMPLICIT FILTER FOR NONLINEAR FILTERING PROBLEMS
Feng Bao, Yanzhao Cao, Clayton G. Webster, Guannan Zhang
Feng Bao
Florida State University
Yanzhao Cao
Department of Mathematics and Statistics, Auburn University, Auburn, AL 36849; School of Mathematics, Sun Yat Sun University, China
Clayton G. Webster
Department of Computational and Applied Mathematics, Oak Ridge National Laboratory, One Bethel Valley Road, P.O. Box 2008, MS-6164, Oak Ridge, Tennessee 37831-6164, USA
Guannan Zhang
Department of Computational and Applied Mathematics, Oak Ridge National Laboratory, One Bethel Valley Road, P.O. Box 2008, MS-6164, Oak Ridge, Tennessee 37831-6164, USA
19-33 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2016013870
A METROPOLIS-HASTINGS METHOD FOR LINEAR INVERSE PROBLEMS WITH POISSON LIKELIHOOD AND GAUSSIAN PRIOR
Johnathan M. Bardsley, Aaron Luttman
Johnathan M. Bardsley
Department of Mathematical Sciences, The University of Montana, Missoula, Montana 59812-0864, USA
Aaron Luttman
Signal Processing and Data Analysis, National Security Technologies, LLC, P.O. Box 98521, M/S NLV078, Las Vegas, Nevada, 89193-8521, USA
35-55 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2016013678
ROBUST UNCERTAINTY QUANTIFICATION USING PRECONDITIONED LEAST-SQUARES POLYNOMIAL APPROXIMATIONS WITH l1-REGULARIZATION
Jan Van Langenhove, D. Lucor, A. Belme
Jan Van Langenhove
Sorbonne Universités, UPMC Univ Paris 06, UMR 7190, Institut Jean le Rond d'Alembert, F-75005, Paris, France;
CNRS, UMR 7190, Institut Jean le Rond d'Alembert, F-75005, Paris, France
D. Lucor
LIMSI, CNRS, Université Paris-Saclay, Campus Universitaire bat 508, Rue John von Neumann, F-91405 Orsay cedex, France
A. Belme
Sorbonne Universités, UPMC Univ Paris 06, UMR 7190, Institut Jean le Rond d'Alembert, F-75005, Paris, France;
CNRS, UMR 7190, Institut Jean le Rond d'Alembert, F-75005, Paris, France
57-77 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2016015915
REFINED LATINIZED STRATIFIED SAMPLING: A ROBUST SEQUENTIAL SAMPLE SIZE EXTENSION METHODOLOGY FOR HIGH-DIMENSIONAL LATIN HYPERCUBE AND STRATIFIED DESIGNS
Michael D. Shields
Michael D. Shields
Department of Civil & Systems Engineering, Johns Hopkins University, Baltimore, Maryland,
USA
79-97 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2016011333
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