Globally convergent Jacobi methods for positive definite matrix pairs-Reference-Cited by-同舟云学术

Globally convergent Jacobi methods for positive definite matrix pairs

Published:2017-11-17 Issue:1 Volume:79 Page:221-249
ISSN:1017-1398
Container-title:Numerical Algorithms
language:en
Short-container-title:Numer Algor

Author:

Hari Vjeran^ORCID

Funder

Hrvatska Zaklada za Znanost (HR)

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Link

http://link.springer.com/article/10.1007/s11075-017-0435-5/fulltext.html

Reference20 articles.

1. de Rijk, P. P. M.: A one-sided Jacobi algorithm for computing the singular value decomposition on a vector computer. SIAM J. Sci. Stat. Comput. 10, 359–371 (1989)

2. Drmač, Z.: A tangent algorithm for computing the generalized singular value decomposition. SIAM J. Numer. Anal. 35(5), 1804–1832 (1998)

3. Falk, S., Langemeyer, P.: Das Jacobische Rotations-Verfahren für reel symmetrische Matrizen-Paare I, II. Elektronische Datenverarbeitung 30–43 (1960)

4. Gose, G.: Das Jacobi Verfahren für A x = λ B x. Zamm 59, 93–101 (1979)

5. Hari, V.: On cyclic Jacobi methods for the positive definite generalized eigenvalue problem. Ph.D. thesis, University of Hagen (1984)

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