Article ID Journal Published Year Pages File Type
4637812 Journal of Computational and Applied Mathematics 2017 8 Pages PDF
Abstract

In order to solve the Toeplitz-plus-diagonal linear systems arising from image restorations efficiently, we propose a sparse approximate inverse preconditioner based on the Sherman–Morrison–Woodbury formula. The preconditioner can be constructed through an incomplete factorization combined with some dropping strategies. When the preconditioner is applied to the conjugate gradient method for solving the Toeplitz-plus-diagonal linear systems, numerical results show that our preconditioning method is more effective than other existing ones.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
, , ,