Raul Tempone

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Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)Preverjeni e-poštni naslov na epfl.ch
babuska iProfessor Emeritus, Oden Institute, University of Texas, AustinPreverjeni e-poštni naslov na ices.utexas.edu
Nadhir Ben RachedLecturer (Assistant Professor), University of LeedsPreverjeni e-poštni naslov na leeds.ac.uk
Abdul-Lateef Haji-AliHeriot-Watt UniversityPreverjeni e-poštni naslov na hw.ac.uk
Georgios ZourarisProfessor, University of CretePreverjeni e-poštni naslov na uoc.gr
Anders SzepessyKTH, StockholmPreverjeni e-poštni naslov na kth.se
Håkon HoelUniversity of OsloPreverjeni e-poštni naslov na math.uio.no
Prof. Mohamed-Slim AlouiniWireless CT Lab, King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi ArabiaPreverjeni e-poštni naslov na kaust.edu.sa
Erik von SchwerinKing Abdullah University of Science and TechnologyPreverjeni e-poštni naslov na kaust.edu.sa
Christian BayerResearch fellow, Weierstrass Institute, BerlinPreverjeni e-poštni naslov na wias-berlin.de
Lorenzo TamelliniCNR-IMATIPreverjeni e-poštni naslov na imati.cnr.it
Joakim BeckCenter for Integrative Petroleum Research (CIPR),CPG, King Fahd University of Petroleum and MineralsPreverjeni e-poštni naslov na kfupm.edu.sa
Clayton WebsterUniversity of Texas at AustinPreverjeni e-poštni naslov na utexas.edu
Marco ScavinoProfesor Agregado, Universidad de la República, UruguayPreverjeni e-poštni naslov na iesta.edu.uy
Luis EspathUniversity of NottinghamPreverjeni e-poštni naslov na nottingham.ac.uk
Abla KammounKAUSTPreverjeni e-poštni naslov na kaust.edu.sa
Quan LongHoneywellPreverjeni e-poštni naslov na honeywell.com
Chiheb Ben HammoudaAssistant Professor, Mathematical Institute, Utrecht UniversityPreverjeni e-poštni naslov na uu.nl
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaPreverjeni e-poštni naslov na meta.com
Mohammad MotamedThe University of New MexicoPreverjeni e-poštni naslov na math.unm.edu

Spremljaj

Raul Tempone

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

Preverjeni e-poštni naslov na kaust.edu.sa - Domača stran

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


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	1948	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	1356	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	1217	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	737	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	429	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	193	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	183	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 49 (3), 815-837, 2015	153	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	135	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	131	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	129	2014
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	125	2015
Multilevel ensemble Kalman filtering H Hoel, KJH Law, R Tempone SIAM Journal on Numerical Analysis 54 (3), 1813-1839, 2016	124	2016
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	114	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	108	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	103	2018
Adaptive weak approximation of stochastic differential equations A Szepessy, R Tempone, GE Zouraris Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2001	101	2001

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