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The alternating-direction iterative method for saddle point problems
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DOI：10.1016/j.amc.2009.12.020.png)
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摘要
En 中文
In the paper, a new alternating-direction iterative method is proposed based on matrix splittings for solving saddle point problems. The convergence analysis for the new method is given. When the better values of parameters are employed, the proposed method has faster convergence rate and less time cost than the Uzawa algorithm with the optimal parameter and the Hermitian and skew-Hermitian splitting iterative method. Numerical examples further show the effectiveness of the method. (C) 2009 Elsevier Inc. All rights reserved.
Keyword:
Saddle point problem
Matrix splitting
The alternating-direction iterative method
The optimal parameter
Convergence
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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