Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4640302 | Journal of Computational and Applied Mathematics | 2010 | 10 Pages |
Abstract
In this paper, we first present a class of structure-oriented hybrid two-stage iteration methods for solving the large and sparse blocked system of linear equations, as well as the saddle point problem as a special case. And the new methods converge to the solution under suitable restrictions, for instance, when the coefficient matrix is positive stable matrix generally. Numerical experiments for a model generalized saddle point problem are given, and the results show that our new methods are feasible and efficient, and converge faster than the Classical Uzawa Method.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yi Zheng, Wenbin Guo, Jianli Zhao, Nan Wang,