Numerical methods for large eigenvalue problems
Numerical methods for large eigenvalue problems
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DOI：
10.1017/s0962492902000089
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发表时间：
2002-01
期刊：
影响因子：
14.2
通讯作者：
D. Sorensen
中科院分区：
文献类型：
--
作者：
D. Sorensen
在过去的十年里，大规模特征值问题的数值求解，特别是非对称矩阵的数值求解，已经取得了长足的进步。Krylov方法和子空间迭代的变体已经改进到可以解决数百万个变量的数量级问题的地步。对导致这些进步的方法和软件进行了综述。
Over the past decade considerable progress has been made towards the numerical solution of large-scale eigenvalue problems, particularly for nonsymmetric matrices. Krylov methods and variants of subspace iteration have been improved to the point that problems of the order of several million variables can be solved. The methods and software that have led to these advances are surveyed.