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- W4300869710 abstract "Given an appropriate class of structured matrices S; we characterize matrices X and B for which there exists a matrix A in S such that AX = B and determine all matrices in S mapping X to B. We also determine all matrices in S mapping X to B and having the smallest norm. We use these results to investigate structured backward errors of approximate eigenpairs and approximate invariant subspaces, and structured pseudospectra of structured matrices." @default.
- W4300869710 created "2022-10-04" @default.
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- W4300869710 date "2013-09-10" @default.
- W4300869710 modified "2023-10-18" @default.
- W4300869710 title "Structured mapping problems for linearly structured matrices" @default.
- W4300869710 doi "https://doi.org/10.48550/arxiv.1309.2522" @default.
- W4300869710 hasPublicationYear "2013" @default.
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