The symmetric Sinc-Galerkin method applied to a separable secondorder self-adjoint elliptic boundary value problem gives rise to a system of linear equations ( \Psi_x \kron D_y + D_x \kron \Psi_y)u = g where \kron is the Kronecker product symbol, \Psi_x and \Psi_y are Toeplitz-plus-diagonal matrices, and D_x and D_y 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
Ng, M., Serra Capizzano, S., TABLINO POSSIO, C. (2003). Multigrid preconditioners for symmetric Sinc systems. ANZIAM JOURNAL, 45(04), 857-869.
Multigrid preconditioners for symmetric Sinc systems
TABLINO POSSIO, CRISTINA
2003
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 ( \Psi_x \kron D_y + D_x \kron \Psi_y)u = g where \kron is the Kronecker product symbol, \Psi_x and \Psi_y are Toeplitz-plus-diagonal matrices, and D_x and D_y 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 systemI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.