On the eigenvalue distribution of a class of preconditioning methods
Numerische Mathematik
Preconditioning by fast direct methods for nonself-adjoint nonseparable elliptic equations
SIAM Journal on Numerical Analysis
CGS, a fast Lanczos-type solver for nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
Multilevel filtering elliptic preconditioners
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Scientific and Statistical Computing
Preconditioning by approximations of the Gram matrix for convection-diffusion equations
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Hi-index | 0.00 |
This work analyses the preconditioning with Gram matrix approximation for the numerical solution of a linear convection-diffusion-reaction equation with discontinuous diffusion and reaction coefficients. The standard finite element method with piecewise linear test and trial functions on uniform meshes discretizes the equation. Three preconditioned conjugate gradient algorithms solve the discrete linear system: CGS, CGSTAB and GMRES. The preconditioning with Gram matrix approximation consists of replacing the solving of the equation with the preconditioner by two symmetric MG iterations. Numerical results are presented to assess the convergence behaviour of the preconditioning and to compare it with other preconditioners of multilevel type.