Raul Tempone

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Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)Geverifieerd e-mailadres voor epfl.ch
babuska iProfessor Emeritus, Oden Institute, University of Texas, AustinGeverifieerd e-mailadres voor ices.utexas.edu
Nadhir Ben RachedLecturer (Assistant Professor), University of LeedsGeverifieerd e-mailadres voor leeds.ac.uk
Abdul-Lateef Haji-AliHeriot-Watt UniversityGeverifieerd e-mailadres voor hw.ac.uk
Georgios ZourarisProfessor, University of CreteGeverifieerd e-mailadres voor uoc.gr
Anders SzepessyKTH, StockholmGeverifieerd e-mailadres voor kth.se
Prof. Mohamed-Slim AlouiniWireless CT Lab, King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi ArabiaGeverifieerd e-mailadres voor kaust.edu.sa
Håkon HoelUniversity of OsloGeverifieerd e-mailadres voor math.uio.no
Erik von SchwerinKing Abdullah University of Science and TechnologyGeverifieerd e-mailadres voor kaust.edu.sa
Lorenzo TamelliniCNR-IMATIGeverifieerd e-mailadres voor imati.cnr.it
Christian BayerResearch fellow, Weierstrass Institute, BerlinGeverifieerd e-mailadres voor wias-berlin.de
Joakim BeckCenter for Integrative Petroleum Research (CIPR),CPG, King Fahd University of Petroleum and MineralsGeverifieerd e-mailadres voor kfupm.edu.sa
Clayton WebsterUniversity of Texas at AustinGeverifieerd e-mailadres voor utexas.edu
Marco ScavinoProfesor Agregado, Universidad de la República, UruguayGeverifieerd e-mailadres voor iesta.edu.uy
Abla KammounKAUSTGeverifieerd e-mailadres voor kaust.edu.sa
Luis EspathUniversity of NottinghamGeverifieerd e-mailadres voor nottingham.ac.uk
Quan LongHoneywellGeverifieerd e-mailadres voor honeywell.com
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaGeverifieerd e-mailadres voor meta.com
Chiheb Ben HammoudaAssistant Professor, Mathematical Institute, Utrecht UniversityGeverifieerd e-mailadres voor uu.nl
Mohammad MotamedThe University of New MexicoGeverifieerd e-mailadres voor math.unm.edu

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Raul Tempone

Professor of Applied Mathematics, Alexander von Humboldt Professor RWTH-Aachen & KAUST

Geverifieerd e-mailadres voor kaust.edu.sa - Homepage

Numerical Analysis Multilevel Monte Carlo Stochastic Differential Equations Uncertainty Quantification Stochastic Numerics


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
A stochastic collocation method for elliptic partial differential equations with random input data I Babuška, F Nobile, R Tempone SIAM Journal on Numerical Analysis 45 (3), 1005-1034, 2007	1939	2007
A sparse grid stochastic collocation method for partial differential equations with random input data F Nobile, R Tempone, CG Webster SIAM Journal on Numerical Analysis 46 (5), 2309-2345, 2008	1345	2008
Galerkin finite element approximations of stochastic elliptic partial differential equations I Babuska, R Tempone, GE Zouraris SIAM Journal on Numerical Analysis 42 (2), 800-825, 2004	1211	2004
An anisotropic sparse grid stochastic collocation method for partial differential equations with random input data F Nobile, R Tempone, CG Webster SIAM Journal on Numerical Analysis 46 (5), 2411-2442, 2008	730	2008
Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation I Babuška, R Tempone, GE Zouraris Computer methods in applied mechanics and engineering 194 (12-16), 1251-1294, 2005	427	2005
Stochastic spectral Galerkin and collocation methods for PDEs with random coefficients: a numerical comparison J Bäck, F Nobile, L Tamellini, R Tempone Spectral and High Order Methods for Partial Differential Equations: Selected …, 2011	276	2011
Multi-index Monte Carlo: when sparsity meets sampling AL Haji-Ali, F Nobile, R Tempone Numerische Mathematik 132, 767-806, 2016	219	2016
On the optimal polynomial approximation of stochastic PDEs by Galerkin and collocation methods J Beck, R Tempone, F Nobile, L Tamellini Mathematical Models and Methods in Applied Sciences 22 (09), 1250023, 2012	190	2012
Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations Q Long, M Scavino, R Tempone, S Wang Computer Methods in Applied Mechanics and Engineering 259, 24-39, 2013	179	2013
A continuation multilevel Monte Carlo algorithm N Collier, AL Haji-Ali, F Nobile, E Von Schwerin, R Tempone BIT Numerical Mathematics 55, 399-432, 2015	163	2015
Discrete least squares polynomial approximation with random evaluations− application to parametric and stochastic elliptic PDEs A Chkifa, A Cohen, G Migliorati, F Nobile, R Tempone ESAIM: Mathematical Modelling and Numerical Analysis-Modélisation …, 2015	150	2015
Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients F Nobile, R Tempone International journal for numerical methods in engineering 80 (6‐7), 979-1006, 2009	140	2009
Multilevel sequential monte carlo samplers A Beskos, A Jasra, K Law, R Tempone, Y Zhou Stochastic Processes and their Applications 127 (5), 1417-1440, 2017	129	2017
Analysis of Discrete Projection on Polynomial Spaces with Random Evaluations G Migliorati, F Nobile, E Von Schwerin, R Tempone Foundations of Computational Mathematics 14 (3), 419-456, 2014	128	2014
Multilevel ensemble Kalman filtering H Hoel, KJH Law, R Tempone SIAM Journal on Numerical Analysis 54 (3), 1813-1839, 2016	123	2016
A stochastic maximum principle for risk-sensitive mean-field type control B Djehiche, H Tembine, R Tempone IEEE Transactions on Automatic Control 60 (10), 2640-2649, 2015	123	2015
Theory and methodology for estimation and control of errors due to modeling, approximation, and uncertainty JT Oden, I Babuška, F Nobile, Y Feng, R Tempone Computer Methods in Applied Mechanics and Engineering 194 (2-5), 195-204, 2005	113	2005
Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete Projection on Polynomial Spaces G Migliorati, F Nobile, E von Schwerin, R Tempone SIAM Journal on Scientific Computing 35 (3), A1440-A1460, 2013	107	2013
Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain J Beck, BM Dia, LFR Espath, Q Long, R Tempone Computer Methods in Applied Mechanics and Engineering 334, 523-553, 2018	101	2018
A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria I Babuška, F Nobile, R Tempone Computer Methods in Applied Mechanics and Engineering 197 (29-32), 2517-2539, 2008	100	2008

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