刊名:Journal of Computational and Applied Mathematics
出版年:2017
出版时间:1 January 2017
年:2017
卷:309
期:Complete
页码:312-319
全文大小:991 K
文摘
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.
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