A CMV-Based Eigensolver for Companion Matrices
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Analysis
Link
http://epubs.siam.org/doi/pdf/10.1137/140978065
Reference32 articles.
1. The uniqueness in the inverse problem for transmission eigenvalues for the spherically symmetric variable-speed wave equation
2. Matrix shapes invariant under the symmetric QR algorithm
3. Fast Computation of the Zeros of a Polynomial via Factorization of the Companion Matrix
4. Fast computation of eigenvalues of companion, comrade, and related matrices
5. Compression of unitary rank-structured matrices to CMV-like shape with an application to polynomial rootfinding
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2. Efficient Reduction of Compressed Unitary Plus Low Rank Matrices to Hessenberg Form;SIAM Journal on Matrix Analysis and Applications;2020-01
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