Frances Y. Kuo

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Ian SloanProfessor of Mathematics, University of New South Wales (UNSW Australia)Verified email at unsw.edu.au
Dirk NuyensNUMA, KU LeuvenVerified email at cs.kuleuven.be
Josef DickA/Professor of Mathematics, UNSWVerified email at unsw.edu.au
Christoph SchwabProfessor for Mathematics, ETH ZurichVerified email at math.ethz.ch
I.G. Graham Professor of Numerical Analysis Verified email at bath.ac.uk
Ronald CoolsProfessor at Dept. of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Michael GriebelInstitute for Numerical Simulation, University of Bonn, Fraunhofer SCAIVerified email at ins.uni-bonn.de
Alexander D. GilbertUniversity of New South WalesVerified email at unsw.edu.au
James A NicholsLecturer, Australian National UniversityVerified email at anu.edu.au
Peter KritzerRICAM Linz, Austrian Academy of SciencesVerified email at oeaw.ac.at
Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Gowri SuryanarayanaResearcher, VITOVerified email at vito.be
Friedrich PillichshammerJohannes Kepler University LinzVerified email at jku.at
Michael B. GilesProfessor of Scientific Computing, University of OxfordVerified email at maths.ox.ac.uk
Matt WandDistinguished Professor of Statistics, University of Technology SydneyVerified email at uts.edu.au
Robert WomersleyUniversity of New South WalesVerified email at unsw.edu.au
William DunsmuirEmeritus Professor of Statistics, University of New South WalesVerified email at unsw.edu.au
Elisabeth UllmannTechnical University of MunichVerified email at tum.de
Mahadevan GaneshColorado School of MinesVerified email at mines.edu
Fred J. HickernellDepartment of Applied Mathematics, Illinois Institute of TechnologyVerified email at iit.edu

Frances Y. Kuo

UNSW Australia

Verified email at unsw.edu.au - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
High-dimensional integration: the quasi-Monte Carlo way J Dick, FY Kuo, IH Sloan Acta Numerica 22, 133-288, 2013	804	2013
Remark on algorithm 659: Implementing Sobol's quasirandom sequence generator S Joe, FY Kuo ACM Transactions on Mathematical Software (TOMS) 29 (1), 49-57, 2003	480	2003
Constructing Sobol sequences with better two-dimensional projections S Joe, FY Kuo SIAM Journal on Scientific Computing 30 (5), 2635-2654, 2008	463	2008
Lifting the curse of dimensionality FY Kuo, IH Sloan Notices of the AMS 52 (11), 1320-1328, 2005	299	2005
Quasi-Monte Carlo finite element methods for a class of elliptic partial differential equations with random coefficients FY Kuo, C Schwab, IH Sloan SIAM Journal on Numerical Analysis 50 (6), 3351-3374, 2012	290	2012
Quasi-Monte Carlo methods for elliptic PDEs with random coefficients and applications IG Graham, FY Kuo, D Nuyens, R Scheichl, IH Sloan Journal of Computational Physics 230 (10), 3668-3694, 2011	209	2011
On decompositions of multivariate functions F Kuo, I Sloan, G Wasilkowski, H Woźniakowski Mathematics of computation 79 (270), 953-966, 2010	203	2010
Component-by-component constructions achieve the optimal rate of convergence for multivariate integration in weighted Korobov and Sobolev spaces FY Kuo Journal of Complexity 19 (3), 301-320, 2003	190	2003
Quasi-Monte Carlo finite element methods for elliptic PDEs with lognormal random coefficients IG Graham, FY Kuo, JA Nichols, R Scheichl, C Schwab, IH Sloan Numerische Mathematik 131, 329-368, 2015	183	2015
Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients: a survey of analysis and implementation FY Kuo, D Nuyens Foundations of Computational Mathematics 16, 1631-1696, 2016	167	2016
Constructing randomly shifted lattice rules in weighted Sobolev spaces IH Sloan, FY Kuo, S Joe SIAM Journal on Numerical Analysis 40 (5), 1650-1665, 2002	164	2002
Constructing embedded lattice rules for multivariate integration R Cools, FY Kuo, D Nuyens SIAM Journal on Scientific Computing 28 (6), 2162-2188, 2006	151	2006
Multi-level quasi-Monte Carlo finite element methods for a class of elliptic PDEs with random coefficients FY Kuo, C Schwab, IH Sloan Foundations of Computational Mathematics 15, 411-449, 2015	146	2015
Higher order QMC Petrov--Galerkin discretization for affine parametric operator equations with random field inputs J Dick, FY Kuo, QT Le Gia, D Nuyens, C Schwab SIAM Journal on Numerical Analysis 52 (6), 2676-2702, 2014	126	2014
On the step-by-step construction of quasi–Monte Carlo integration rules that achieve strong tractability error bounds in weighted Sobolev spaces I Sloan, F Kuo, S Joe Mathematics of Computation 71 (240), 1609-1640, 2002	116	2002
Multilevel quasi-Monte Carlo methods for lognormal diffusion problems F Kuo, R Scheichl, C Schwab, I Sloan, E Ullmann Mathematics of Computation 86 (308), 2827-2860, 2017	108	2017
Quasi-Monte Carlo methods for high-dimensional integration: the standard (weighted Hilbert space) setting and beyond FY Kuo, C Schwab, IH Sloan The ANZIAM Journal 53 (1), 1-37, 2011	105	2011
Lattice rules for multivariate approximation in the worst case setting FY Kuo, IH Sloan, H Woźniakowski Monte Carlo and Quasi-Monte Carlo Methods 2004, 289-330, 2004	88*	2004
Liberating the dimension FY Kuo, IH Sloan, GW Wasilkowski, H Woźniakowski Journal of Complexity 26 (5), 422-454, 2010	82	2010
Construction algorithms for polynomial lattice rules for multivariate integration J Dick, F Kuo, F Pillichshammer, I Sloan Mathematics of computation 74 (252), 1895-1921, 2005	79	2005

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