David J. Silvester - Google Scholar Citations

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Howard ElmanProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Catherine E PowellMathematics, University of ManchesterVerified email at manchester.ac.uk
David KayAssociate Prof in Computational Biology, Department of Computer Science, OxfordVerified email at cs.ox.ac.uk
David F GriffithsRetiredVerified email at maths.dundee.ac.uk
Alison RamageUniversity of StrathclydeVerified email at strath.ac.uk
Alex BespalovSchool of Mathematics, University of BirminghamVerified email at bham.ac.uk
John DoldSchool of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Valeria SimonciniProfessor of Numerical Analysis, Universita' di BolognaVerified email at unibo.it
Arbaz khanPDRA, School of Mathematics, The University of Manchester, Manchester, UKVerified email at manchester.ac.uk
Qifeng LiaoVerified email at mit.edu
John N. ShadidComputational Mathematics Dept., Sandia National Labs; Mathematics Dept., University of New MexicoVerified email at sandia.gov
Victoria E. HowleTexas Tech UniversityVerified email at ttu.edu
John W ChewProfessor of Mechanical Engineering, University of SurreyVerified email at surrey.ac.uk
Oliver G. ErnstTU ChemnitzVerified email at math.tu-chemnitz.de
Elisabeth UllmannAssistant Professor at the Technical University of MunichVerified email at ma.tum.de
PranjalPostdoctoral Associate, Virginia Tech, USAVerified email at vt.edu
John W PearsonLecturer, School of Mathematics, The University of Edinburgh & Fellow of The Alan Turing InstituteVerified email at ed.ac.uk
Jennifer PestanaDepartment of Mathematics and Statistics, University of StrathclydeVerified email at strath.ac.uk

David J. Silvester

Professor of Mathematics, University of Manchester

Verified email at manchester.ac.uk - Homepage

Mathematics Numerical Analysis Scientific Computing


Title	Cited by	Year
Finite elements and fast iterative solvers: with applications in incompressible fluid dynamics HC Elman, DJ Silvester, AJ Wathen Oxford University Press, USA, 2014	1681	2014
Fast iterative solution of stabilised Stokes systems part II: using general block preconditioners D Silvester, A Wathen SIAM Journal on Numerical Analysis 31 (5), 1352-1367, 1994	447	1994
Fast nonsymmetric iterations and preconditioning for Navier–Stokes equations H Elman, D Silvester SIAM Journal on Scientific Computing 17 (1), 33-46, 1996	290	1996
Fast iterative solution of stabilised Stokes systems. Part I: Using simple diagonal preconditioners A Wathen, D Silvester SIAM Journal on Numerical Analysis 30 (3), 630-649, 1993	279	1993
Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow HC Elman, A Ramage, DJ Silvester ACM Transactions on Mathematical Software (TOMS) 33 (2), 14, 2007	257	2007
Performance and analysis of saddle point preconditioners for the discrete steady-state Navier-Stokes equations HC Elman, DJ Silvester, AJ Wathen Numerische Mathematik 90 (4), 665-688, 2002	239	2002
Efficient preconditioning of the linearized Navier–Stokes equations for incompressible flow D Silvester, H Elman, D Kay, A Wathen Journal of Computational and Applied Mathematics 128 (1-2), 261-279, 2001	231	2001
Minimum residual methods for augmented systems B Fischer, A Ramage, DJ Silvester, AJ Wathen BIT Numerical Mathematics 38 (3), 527-543, 1998	209	1998
Analysis of locally stabilized mixed finite element methods for the Stokes problem N Kechkar, D Silvester Mathematics of Computation 58 (197), 1-10, 1992	149	1992
Stabilised bilinear-constant velocity-pressure finite elements for the conjugate gradient solution of the Stokes problem DJ Silvester, N Kechkar Computer Methods in Applied Mechanics and Engineering 79 (1), 71-86, 1990	127	1990
A posteriori error estimation for stabilized mixed approximations of the Stokes equations D Kay, D Silvester SIAM Journal on Scientific Computing 21 (4), 1321-1336, 1999	108	1999
Iterative methods for problems in computational fluid dynamics HC Elman, D Silvester, AJ Wathen	96	1996
Efficient solvers for a linear stochastic Galerkin mixed formulation of diffusion problems with random data OG Ernst, CE Powell, DJ Silvester, E Ullmann SIAM Journal on Scientific Computing 31 (2), 1424-1447, 2009	80	2009
Optimal low order finite element methods for incompressible flow D Silvester Computer methods in applied mechanics and engineering 111 (3-4), 357-368, 1994	74	1994
On parameter choice and iterative convergence for stabilised discretisations of advection–diffusion problems B Fischer, A Ramage, DJ Silvester, AJ Wathen Computer methods in applied mechanics and engineering 179 (1-2), 179-195, 1999	71	1999
The convergence rate of the minimal residual method for the Stokes problem A Wathen, B Fischer, D Silvester Numerische Mathematik 71 (1), 121-134, 1995	65	1995
Least squares preconditioners for stabilized discretizations of the Navier–Stokes equations H Elman, VE Howle, J Shadid, D Silvester, R Tuminaro SIAM Journal on Scientific Computing 30 (1), 290-311, 2007	64	2007
IFISS: A computational laboratory for investigating incompressible flow problems HC Elman, A Ramage, DJ Silvester SIAM Review 56 (2), 261-273, 2014	63	2014
Adaptive time-stepping for incompressible flow part II: Navier–Stokes equations DA Kay, PM Gresho, DF Griffiths, DJ Silvester SIAM Journal on Scientific Computing 32 (1), 111-128, 2010	62	2010
Stabilised vs. stable mixed methods for incompressible flow S Norburn, D Silvester Computer methods in applied mechanics and engineering 166 (1-2), 131-141, 1998	61	1998

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