
Matrix Computations and Semiseparable Matrices
Eigenvalue and Singular Value Methods
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Matrix Computations and Semiseparable Matrices
Eigenvalue and Singular Value Methods
About this book
The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular value computations for semiseparable matrices. These matrices have hidden properties that allow the development of efficient methods and algorithms to accurately compute the matrix eigenvalues.
This thorough analysis of semiseparable matrices explains their theoretical underpinnings and contains a wealth of information on implementing them in practice. Many of the routines featured are coded in Matlab and can be downloaded from the Web for further exploration.
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Information
Table of contents
- Cover
- Halftitle Page
- Title Page
- Copyright
- Contents
- Preface
- Notation
- 1 Introduction to semiseparable matrices
- I The reduction of matrices
- II QR-algorithms (eigenvalue problems)
- III Some generalizations and miscellaneous topics
- IV Orthogonal (rational) functions (Inverse eigenvalue problems)
- Bibliography
- Author/Editor Index
- Subject Index
- Footnotes
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