摘要
We propose a minimax scaling procedure for second order polynomial matrices that aims to minimize the backward errors incurred in solving a particular linearized generalized eigenvalue problem. We give numerical examples to illustrate that it can significantly improve the backward errors of the computed eigenvalue-eigenvector pairs.
原文 | 英語 |
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頁(從 - 到) | 252-256 |
頁數 | 5 |
期刊 | SIAM Journal on Matrix Analysis and Applications |
卷 | 26 |
發行號 | 1 |
DOIs | |
出版狀態 | 已發佈 - 2005 |
對外發佈 | 是 |
ASJC Scopus subject areas
- 分析