David J. Silvester

45 papers Journal 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Machine learning for hydrodynamic stability. J. Comput. Phys. David J. Silvester
2025	J	`jnl`	Adaptive Sampling for Hydrodynamic Stability. CoRR Anshima Singh, David J. Silvester
2024	J	`jnl`	Fast solution of incompressible flow problems with two-level pressure approximation. Numerische Mathematik Jennifer Pestana, David J. Silvester
2023	J	`jnl`	Efficient Adaptive Stochastic Collocation Strategies for Advection-Diffusion Problems with Uncertain Inputs. J. Sci. Comput. Benjamin M. Kent, Catherine E. Powell, David J. Silvester, Malgorzata J. Zimon
2023	J	`jnl`	Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part II: Multilevel Approximation. SIAM J. Sci. Comput. Alex Bespalov, David J. Silvester
2023	J	`jnl`	Fast solution of incompressible flow problems with two-level pressure approximation. CoRR Jennifer Pestana, David J. Silvester
2023	J	`jnl`	IFISS3D: A Computational Laboratory for Investigating Finite Element Approximation in Three Dimensions. ACM Trans. Math. Softw. Georgios Papanikos, Catherine E. Powell, David J. Silvester
2023	J	`jnl`	Robin-type domain decomposition with stabilized mixed approximation for incompressible flow. Comput. Math. Appl. Yani Feng, Qifeng Liao, David J. Silvester
2022	J	`jnl`	Efficient Adaptive Stochastic Collocation Strategies for Advection-Diffusion Problems with Uncertain Inputs. CoRR Benjamin M. Kent, Catherine E. Powell, David J. Silvester, Malgorzata J. Zimon
2022	J	`jnl`	Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part I: Single-Level Approximation. SIAM J. Sci. Comput. Alex Bespalov, David J. Silvester, Feng Xu
2022	J	`jnl`	Error estimation and adaptivity for stochastic collocation finite elements Part II: multilevel approximation. CoRR Alex Bespalov, David J. Silvester
2022	J	`jnl`	IFISS3D: A computational laboratory for investigating finite element approximation in three dimensions. CoRR Georgios Papanikos, Catherine E. Powell, David J. Silvester
2021	J	`jnl`	Error estimation and adaptivity for stochastic collocation finite elements Part I: single-level approximation. CoRR Alex Bespalov, David J. Silvester, Feng Xu
2021	J	`jnl`	Robust a posteriori error estimation for parameter-dependent linear elasticity equations. Math. Comput. Arbaz Khan, Alex Bespalov, Catherine E. Powell, David J. Silvester
2021	J	`jnl`	T-IFISS: a toolbox for adaptive FEM computation. Comput. Math. Appl. Alex Bespalov, Leonardo Rocchi, David J. Silvester
2020	J	`jnl`	A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data. J. Comput. Phys. Jens Lang, Robert Scheichl, David J. Silvester
2020	J	`jnl`	A locally mass conserving quadratic velocity, linear pressure element. CoRR Ronald W. Thatcher, David J. Silvester
2019	J	`jnl`	Balanced Iterative Solvers for Linear Nonsymmetric Systems and Nonlinear Systems with PDE Origins: Efficient Black-Box Stopping Criteria. J. Sci. Comput. Pranjal, David J. Silvester
2019	J	`jnl`	Robust Preconditioning for Stochastic Galerkin Formulations of Parameter-Dependent Nearly Incompressible Elasticity Equations. SIAM J. Sci. Comput. Arbaz Khan, Catherine E. Powell, David J. Silvester
2019	J	`jnl`	T-IFISS: a toolbox for adaptive FEM computation. CoRR Alex Bespalov, Leonardo Rocchi, David J. Silvester
2018	J	`jnl`	Collocation Methods for Exploring Perturbations in Linear Stability Analysis. SIAM J. Sci. Comput. Howard C. Elman, David J. Silvester
2018	J	`jnl`	Refined saddle-point preconditioners for discretized Stokes problems. Numerische Mathematik John W. Pearson, Jennifer Pestana, David J. Silvester
2017	J	`jnl`	An Efficient Reduced Basis Solver for Stochastic Galerkin Matrix Equations. SIAM J. Sci. Comput. Catherine Elizabeth Powell, David J. Silvester, Valeria Simoncini
2016	J	`jnl`	An Optimal Solver for Linear Systems Arising from Stochastic FEM Approximation of Diffusion Equations with Random Coefficients. SIAM/ASA J. Uncertain. Quantification David J. Silvester, Pranjal
2016	J	`jnl`	Efficient Adaptive Stochastic Galerkin Methods for Parametric Operator Equations. SIAM J. Sci. Comput. Alexei Bespalov, David J. Silvester
2014	J	`jnl`	Energy Norm A Posteriori Error Estimation for Parametric Operator Equations. SIAM J. Sci. Comput. Alexei Bespalov, Catherine Elizabeth Powell, David J. Silvester
2014	J	`jnl`	Fast solvers for discretized Navier-Stokes problems using vector extrapolation. Numer. Algorithms Sébastien Duminil, Hassane Sadok, David J. Silvester
2014	J	`jnl`	IFISS: A Computational Laboratory for Investigating Incompressible Flow Problems. SIAM Rev. Howard C. Elman, Alison Ramage, David J. Silvester
2012	J	`jnl`	A Priori Error Analysis of Stochastic Galerkin Mixed Approximations of Elliptic PDEs with Random Data. SIAM J. Numer. Anal. Alexei Bespalov, Catherine Elizabeth Powell, David J. Silvester
2012	J	`jnl`	Preconditioning Steady-State Navier-Stokes Equations with Random Data. SIAM J. Sci. Comput. Catherine Elizabeth Powell, David J. Silvester
2011	J	`jnl`	An Optimal Iterative Solver for Symmetric Indefinite Systems Stemming from Mixed Approximation. ACM Trans. Math. Softw. David J. Silvester, Valeria Simoncini
2011	J	`jnl`	Fast iterative solvers for buoyancy driven flow problems. J. Comput. Phys. Howard C. Elman, Milan D. Mihajlovic, David J. Silvester
2011	J	`jnl`	Special Section: 2010 Copper Mountain Conference. SIAM J. Sci. Comput. Ray Tuminaro, Michele Benzi, Xiao-Chuan Cai, Iain Duff, Howard C. Elman, Roland Freund, Kirk E. Jordan, Tim Kelley, David E. Keyes, Misha Elena Kilmer, Sven Leyffer, Tom Manteuffel, Steve F. McCormick, David J. Silvester, Homer F. Walker
2010	J	`jnl`	Adaptive Time-Stepping for Incompressible Flow Part II: Navier--Stokes Equations. SIAM J. Sci. Comput. David A. Kay, Philip M. Gresho, David F. Griffiths, David J. Silvester
2009	J	`jnl`	Efficient Solvers for a Linear Stochastic Galerkin Mixed Formulation of Diffusion Problems with Random Data. SIAM J. Sci. Comput. Oliver G. Ernst, Catherine Elizabeth Powell, David J. Silvester, Elisabeth Ullmann
2008	J	`jnl`	Adaptive Time-Stepping for Incompressible Flow Part I: Scalar Advection-Diffusion. SIAM J. Sci. Comput. Philip M. Gresho, David F. Griffiths, David J. Silvester
2007	J	`jnl`	Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow. ACM Trans. Math. Softw. Howard C. Elman, Alison Ramage, David J. Silvester
2007	J	`jnl`	Least Squares Preconditioners for Stabilized Discretizations of the Navier-Stokes Equations. SIAM J. Sci. Comput. Howard C. Elman, Victoria E. Howle, John N. Shadid, David J. Silvester, Ray S. Tuminaro
2004	J	`jnl`	Efficient parallel solvers for the biharmonic equation. Parallel Comput. Milan D. Mihajlovic, David J. Silvester
2003	J	`jnl`	Optimal Preconditioning for Raviart-Thomas Mixed Formulation of Second-Order Elliptic Problems. SIAM J. Matrix Anal. Appl. Catherine Elizabeth Powell, David J. Silvester
2002	J	`jnl`	Performance and analysis of saddle point preconditioners for the discrete steady-state Navier-Stokes equations. Numerische Mathematik Howard C. Elman, David J. Silvester, Andrew J. Wathen
2001	J	`jnl`	Fourier Analysis of Stabilized SIAM J. Numer. Anal. Sean Norburn, David J. Silvester
1999	J	`jnl`	A Posteriori Error Estimation for Stabilized Mixed Approximations of the Stokes Equations. SIAM J. Sci. Comput. David A. Kay, David J. Silvester
1996	J	`jnl`	Fast Nonsymmetric Iterations and Preconditioning for Navier-Stokes Equations. SIAM J. Sci. Comput. Howard C. Elman, David J. Silvester
1988	J	`jnl`	Optimising finite element matrix calculations using the general technique of element vectorisation. Parallel Comput. David J. Silvester