This paper is concerned with the problem of verifying the accuracy of an approximate solution of a sparse linear system whose coefficient matrix is an H-matrix. Fast and efficient methods of calculating componentwise error bounds of the computed solution are proposed. The methods are based on the verified criterion for an M-matrix. The main point of this article is that the proposed methods can be applied with any iterative solution methods such as the Gauss-Seidel method and Krylov subspace methods. Therefore, the sparsity of the coefficient matrix is preserved in the verification process. Numerical results are presented, illustrating the performance of the proposed methods.
|Number of pages||15|
|Publication status||Published - 2013 Dec 1|
- Sparse linear systems
- Verified numerical computations
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics