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Hermitian-type generalized singular value decomposition with applications
- Source :
- Numerical Linear Algebra with Applications. 20:60-73
- Publication Year :
- 2012
- Publisher :
- Wiley, 2012.
-
Abstract
- SUMMARY For a pair of given Hermitian matrix A and rectangular matrix B with the same row number, we reformulate a well-known simultaneous Hermitian-type generalized singular value decomposition (HGSVD) with more precise structure and parameters and use it to derive some algebraic properties of the linear Hermitian matrix function A−BXB* and Hermitian solution of the matrix equation BXB* = A, and the canonical form of a partitioned Hermitian matrix and some optimization problems on its inertia and rank. Copyright © 2012 John Wiley & Sons, Ltd.
- Subjects :
- Pure mathematics
Algebra and Number Theory
Applied Mathematics
Mathematical analysis
Square matrix
Hermitian matrix
Matrix function
Hermitian function
Singular value decomposition
Symmetric matrix
Mathematics::Differential Geometry
Generalized singular value decomposition
Eigendecomposition of a matrix
Mathematics
Subjects
Details
- ISSN :
- 10705325
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Numerical Linear Algebra with Applications
- Accession number :
- edsair.doi...........94905860157ee7fbed2e9f5d12154544