Preconditioned Krylov subspace methods

被引:0
作者
Saad, Y [1 ]
机构
[1] Univ Minnesota, Dept Comp Sci, Minneapolis, MN 55455 USA
来源
ALGORITHMS FOR LARGE SCALE LINEAR ALGEBRAIC SYSTEMS: APPLICATIONS IN SCIENCE AND ENGINEERING | 1998年 / 508卷
关键词
sparse linear systems; Krylov subspace methods; iterative techniques; preconditioning;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Preconditioned Krylov subspace techniques have had a substantial impact on the numerical solution of engineering and scientific problems. These methods can be mandatory for large problems arising from 3-dimensional models, However, although iterative methods are rapidly gaining ground, there are still a number of open questions and unresolved issues related to their use in representative applications. In this paper we give an overview of the most commonly used techniques, and discuss open questions and current trends.
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页码:131 / 149
页数:19
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