A symplectic method for approximating all the eigenvalues of a Hamiltonian matrix:

A fast method for computing all the eigenvalues of a Hamiltonian matrix M is given. The method relies on orthogonal symplectic similarity transformations which preserve structure and have desirable numerical properties. The algorithm is about four times faster than the standard Q-R algorithm. The co...

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Bibliographische Detailangaben
1. Verfasser: Van Loan, Charles F. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Ithaca, New York 1982
Schriftenreihe:Cornell University <Ithaca, NY> / Department of Computer Science: Technical report 494
Zusammenfassung:A fast method for computing all the eigenvalues of a Hamiltonian matrix M is given. The method relies on orthogonal symplectic similarity transformations which preserve structure and have desirable numerical properties. The algorithm is about four times faster than the standard Q-R algorithm. The computed eigenvalues are shown to be the exact eigenvalues of a matrix M+E where
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