The symmetric Sinc-Galerkin method applied to a separable secondorder self-adjoint elliptic boundary value problem gives rise to a system of linear equations (Ψx ⊗ Dy + Dx ⊗ Ψy) u = g where ⊗ is the Kronecker product symbol, Ψx and Ψyare Toeplitz-plus-diagonal matrices, and Dx and Dy are diagonal matrices. The main contribution of this paper is to present a two-step preconditioning strategy based on the banded matrix approximation and the multigrid iteration for these Sinc-Galerkin systems. Numerical examples show that the multigrid preconditioner is practical and efficient to precondition the conjugate gradient method for solving the above symmetric Sinc-Galerkin linear system.

Multigrid preconditioners for symmetric Sinc systems

SERRA CAPIZZANO, STEFANO;
2004-01-01

Abstract

The symmetric Sinc-Galerkin method applied to a separable secondorder self-adjoint elliptic boundary value problem gives rise to a system of linear equations (Ψx ⊗ Dy + Dx ⊗ Ψy) u = g where ⊗ is the Kronecker product symbol, Ψx and Ψyare Toeplitz-plus-diagonal matrices, and Dx and Dy are diagonal matrices. The main contribution of this paper is to present a two-step preconditioning strategy based on the banded matrix approximation and the multigrid iteration for these Sinc-Galerkin systems. Numerical examples show that the multigrid preconditioner is practical and efficient to precondition the conjugate gradient method for solving the above symmetric Sinc-Galerkin linear system.
2004
Ng, M. K.; SERRA CAPIZZANO, Stefano; Tablino Possio, C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/1492687
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