Raul Tempone

Dikutip oleh

	Semua	Sejak 2020
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Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)Email yang diverifikasi di epfl.ch
babuska iProfessor Emeritus, Oden Institute, University of Texas, AustinEmail yang diverifikasi di ices.utexas.edu
Nadhir Ben RachedLecturer (Assistant Professor), University of LeedsEmail yang diverifikasi di leeds.ac.uk
Abdul-Lateef Haji-AliHeriot-Watt UniversityEmail yang diverifikasi di hw.ac.uk
Georgios ZourarisProfessor, University of CreteEmail yang diverifikasi di uoc.gr
Anders SzepessyKTH, StockholmEmail yang diverifikasi di kth.se
Prof. Mohamed-Slim AlouiniWireless CT Lab, King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi ArabiaEmail yang diverifikasi di kaust.edu.sa
Håkon HoelUniversity of OsloEmail yang diverifikasi di math.uio.no
Erik von SchwerinKing Abdullah University of Science and TechnologyEmail yang diverifikasi di kaust.edu.sa
Lorenzo TamelliniCNR-IMATIEmail yang diverifikasi di imati.cnr.it
Christian BayerResearch fellow, Weierstrass Institute, BerlinEmail yang diverifikasi di wias-berlin.de
Joakim BeckCenter for Integrative Petroleum Research (CIPR),CPG, King Fahd University of Petroleum and MineralsEmail yang diverifikasi di kfupm.edu.sa
Clayton WebsterUniversity of Texas at AustinEmail yang diverifikasi di utexas.edu
Marco ScavinoProfesor Agregado, Universidad de la República, UruguayEmail yang diverifikasi di iesta.edu.uy
Abla KammounKAUSTEmail yang diverifikasi di kaust.edu.sa
Luis EspathUniversity of NottinghamEmail yang diverifikasi di nottingham.ac.uk
Quan LongHoneywellEmail yang diverifikasi di honeywell.com
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaEmail yang diverifikasi di meta.com
Chiheb Ben HammoudaAssistant Professor, Mathematical Institute, Utrecht UniversityEmail yang diverifikasi di uu.nl
Mohammad MotamedThe University of New MexicoEmail yang diverifikasi di math.unm.edu

Ikuti

Raul Tempone

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

Email yang diverifikasi di kaust.edu.sa - Beranda

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1938	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	1343	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	1210	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	728	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	189	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	178	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	149	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	128	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	127	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	122	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	112	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	106	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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