Geodesic
Structured QR algorithms for Hamiltonian symmetric matrices
The electronic journal of linear algebra, Tome 22 (2011), pp. 573-585.

Voir la notice de l'article provenant de la source Electronic Library of Mathematics

Summary: Efficient, backward-stable, doubly structure-preserving algorithms for the Hamiltonian symmetric and skew-symmetric eigenvalue problems are developed. Numerical experiments confirm the theoretical properties of the algorithms. Also developed are doubly structure-preserving Lanczos processes for Hamiltonian symmetric and skew-symmetric matrices.
Classification : 65F15, 15A18, 15A21
Keywords: Hamiltonian matrix, double structure, eigenvalue, QR algorithm 
@article{ELA_2011__22__a41,
     author = {Salam, A. and Watkins, D.S.},
     title = {Structured {QR} algorithms for {Hamiltonian} symmetric matrices},
     journal = {The electronic journal of linear algebra},
     pages = {573--585},
     publisher = {mathdoc},
     volume = {22},
     year = {2011},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ELA_2011__22__a41/}
}
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Salam, A.; Watkins, D.S. Structured QR algorithms for Hamiltonian symmetric matrices. The electronic journal of linear algebra, Tome 22 (2011), pp. 573-585. http://geodesic.mathdoc.fr/item/ELA_2011__22__a41/