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A new linearized implicit iteration method for nonsymmetric algebraic Riccati equations
被引:7
|作者:
Lu H.
[1
]
Ma C.
[1
]
机构:
[1] School of Mathematics and Computer Science, Fujian Normal University, Fuzhou
基金:
中国国家自然科学基金;
关键词:
Linearized implicit method;
Minimal nonnegative solution;
Modified linearized implicit method;
Nonsymmetric algebraic Riccati equation;
Shamanskii technique;
D O I:
10.1007/s12190-015-0867-9
中图分类号:
学科分类号:
摘要:
For the nonsymmetric algebraic Riccati equation, we establish a new linearized implicit iteration method (LI) for computing its minimal nonnegative solution. And a modified linearized implicit iteration method (MLI) is obtained through Shamanskii technique. Under suitable conditions, we prove the monotone convergence of the LI and MLI iteration methods. Numerical experiments show that the LI and MLI iteration methods are feasible and effective. Moreover, the MLI iteration method outperforms the alternately linearized implicit iteration method (in: Bai et al., Numer. Linear Algebr. Appl. 13:655–674, 2006). © 2015, Korean Society for Computational and Applied Mathematics.
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页码:227 / 241
页数:14
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