Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4625649 | Applied Mathematics and Computation | 2017 | 13 Pages |
Abstract
In this paper, the Jacobi and Gauss–Seidel-type iteration methods are proposed for solving the matrix equation AXB=C,AXB=C, which are based on the splitting schemes of the matrices A and B. The convergence and computational cost of these iteration methods are discussed. Furthermore, we give the preconditioned Jacobi and Gauss–Seidel-type iteration methods. Numerical examples are given to demonstrate the efficiency of these methods proposed in this paper.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Zhaolu Tian, Maoyi Tian, Zhongyun Liu, Tongyang Xu,