Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4643062 | Journal of Computational and Applied Mathematics | 2007 | 7 Pages |
Abstract
The Conjugate Orthogonal Conjugate Gradient (COCG) method has been recognized as an attractive Lanczos-type Krylov subspace method for solving complex symmetric linear systems; however, it sometimes shows irregular convergence behavior in practical applications. In the present paper, we propose a Conjugate AA-Orthogonal Conjugate Residual (COCR) method, which can be regarded as an extension of the Conjugate Residual (CR) method. Numerical examples show that COCR often gives smoother convergence behavior than COCG.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Tomohiro Sogabe, Shao-Liang Zhang,