Computing the CS and the generalized singular value decompositions
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Publication:799335
DOI10.1007/BF01389653zbMath0548.65020MaRDI QIDQ799335
Publication date: 1985
Published in: Numerische Mathematik (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/133008
block matrixorthogonal matrixsingular value decompositionsCS decompositionsystolic-type computer architectures
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18)
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Uses Software
Cites Work
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- Computing the CS decomposition of a partitioned orthonormal matrix
- A symplectic method for approximating all the eigenvalues of a Hamiltonian matrix
- Singular value decomposition and least squares solutions
- Towards a Generalized Singular Value Decomposition
- Generalizing the Singular Value Decomposition
- On the Perturbation of Pseudo-Inverses, Projections and Linear Least Squares Problems
- The Rotation of Eigenvectors by a Perturbation. III
