Archive Files

Volume 6, 2016 / Issue 1

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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