David J. Silvester
David J. Silvester
Professor of Mathematics, University of Manchester
Verified email at manchester.ac.uk - Homepage
TitleCited byYear
Finite elements and fast iterative solvers: with applications in incompressible fluid dynamics
HC Elman, DJ Silvester, AJ Wathen
Oxford University Press, USA, 2014
16812014
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
4471994
Fast nonsymmetric iterations and preconditioning for Navier–Stokes equations
H Elman, D Silvester
SIAM Journal on Scientific Computing 17 (1), 33-46, 1996
2901996
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
2791993
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
2572007
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
2392002
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
2312001
Minimum residual methods for augmented systems
B Fischer, A Ramage, DJ Silvester, AJ Wathen
BIT Numerical Mathematics 38 (3), 527-543, 1998
2091998
Analysis of locally stabilized mixed finite element methods for the Stokes problem
N Kechkar, D Silvester
Mathematics of Computation 58 (197), 1-10, 1992
1491992
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
1271990
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
1081999
Iterative methods for problems in computational fluid dynamics
HC Elman, D Silvester, AJ Wathen
961996
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
802009
Optimal low order finite element methods for incompressible flow
D Silvester
Computer methods in applied mechanics and engineering 111 (3-4), 357-368, 1994
741994
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
711999
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
651995
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
642007
IFISS: A computational laboratory for investigating incompressible flow problems
HC Elman, A Ramage, DJ Silvester
SIAM Review 56 (2), 261-273, 2014
632014
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
622010
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
611998
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