Solutions to Linear Matrix Equations and Their Applications
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| Title: | Solutions to Linear Matrix Equations and Their Applications |
|---|---|
| Description: | 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. |
| Authors: | Caiqin SONG |
| Resource Type: | eBook. |
| Subjects: | Linear models (Statistics) |
| Categories: | MATHEMATICS / Matrices |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Solutions to Linear Matrix Equations and Their Applications – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Caiqin+SONG%22">Caiqin SONG</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Linear+models+%28Statistics%29%22">Linear models (Statistics)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Matrices%22">MATHEMATICS / Matrices</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 519.5 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Linear models (Statistics) Type: general Titles: – TitleFull: Solutions to Linear Matrix Equations and Their Applications Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Caiqin SONG – PersonEntity: Name: NameFull: Caiqin SONG IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 05 M: 03 Type: profile Y: 2026 Identifiers: – Type: isbn-print Value: 9782759831029 – Type: isbn-electronic Value: 9782759831036 Titles: – TitleFull: Solutions to Linear Matrix Equations and Their Applications Type: main |
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