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G.W. Stewart pp 95-104 | Cite as

The SVD, Eigenproblem, and Invariant Subspaces: Algorithms

  • James W. Demmel
Part of the Contemporary Mathematicians book series (CM)

Abstract

These papers form a sample of Stewart’s work on algorithms for the eigenvalue problem, in particular computing selected invariant subspaces and corresponding eigenvalues and eigenvectors of both Hermitian and non-Hermitian matrices. We also include some contributions to the SVD. Algorithms for the generalized nonsymmetric eigenproblem, in particular the QZ algorithm, are discussed in Sect. 9.2.

Keywords

Singular Value Decomposition Invariant Subspace Jordan Block Block Diagonalization Singular Subspace 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Mathematics Computer Science DivisionUniversity of CaliforniaBerkeleyUSA

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