- EAN13
- 9782759831036
- Éditeur
- EDP sciences
- Date de publication
- 20/07/2023
- Collection
- Current Natural Sciences
- Langue
- anglais
- Fiches UNIMARC
- S'identifier
Solutions to Linear Matrix Equations and their Applications
Caiqin SONG
EDP sciences
Current Natural Sciences
Livre numérique
-
Aide EAN13 : 9782759831036
- Fichier PDF, avec Marquage en filigrane
65.99
This book addresses both the basic and applied aspects of the finite iterative
algorithm, CGLS iterative algorithm, and explicit algorithm to some linear
matrix equations. The author presents the latest results in three parts: (1)
We consider the finite iterative algorithm to the coupled transpose matrix
equations and the coupled operator matrix equations with sub-matrix
constrained. These two finite iterative algorithms are closely related and
progressive. (2) We present MCGLS iterative algorithm for studying least
squares problems to the generalized Sylvester-conjugate matrix equation, the
generalized Sylvester-conjugate transpose matrix equation, and the coupled
linear operator systems, respectively. (3) Compared with the previous two
parts, we consider here the explicit solution to some linear matrix equations,
which are the nonhomogeneous Yakubovich matrix equation, the nonhomogeneous
Yakubovich transpose matrix equation, and the generalized Sylvester matrix
equation, respectively. This book is intended for students, researchers, and
professionals in the field of numerical algebra, linear matrix equations,
nonlinear matrix equations, and control theory.
algorithm, CGLS iterative algorithm, and explicit algorithm to some linear
matrix equations. The author presents the latest results in three parts: (1)
We consider the finite iterative algorithm to the coupled transpose matrix
equations and the coupled operator matrix equations with sub-matrix
constrained. These two finite iterative algorithms are closely related and
progressive. (2) We present MCGLS iterative algorithm for studying least
squares problems to the generalized Sylvester-conjugate matrix equation, the
generalized Sylvester-conjugate transpose matrix equation, and the coupled
linear operator systems, respectively. (3) Compared with the previous two
parts, we consider here the explicit solution to some linear matrix equations,
which are the nonhomogeneous Yakubovich matrix equation, the nonhomogeneous
Yakubovich transpose matrix equation, and the generalized Sylvester matrix
equation, respectively. This book is intended for students, researchers, and
professionals in the field of numerical algebra, linear matrix equations,
nonlinear matrix equations, and control theory.
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