Rational Krylov Algorithms for Eigenvalue Computation and Model Reduction

Rational Krylov Algorithms for Eigenvalue Computation and Model Reduction
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用于特征值计算和模型简化的有理 Krylov 算法

DOI:
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发表时间:
1998
期刊:
Workshop on Applied Parallel Computin
影响因子:
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通讯作者:
D. Skoogh
D. Skoogh
中科院分区:
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文献类型:
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作者:
Axel Ruhe;D. Skoogh

文献摘要

被引文献

相似文献

有理Krylov是Lanczos或Arnoldi特征值算法的扩展,其中在一次运行中执行几个移位(矩阵因式分解)。已经开发了一种变体,其中这些因式分解是并行执行的。
Rational Krylov is an extension of the Lanczos or Arnoldi eigenvalue algorithm where several shifts (matrix factorizations) are performed in one run. A variant has been developed, where these factorizations are performed in parallel.