| Matrix Computations and Semiseparable Matrices: Eigenvalue and Singular Value Methods Contributor(s): Vandebril, Raf (Author), Van Barel, Marc (Author), Mastronardi, Nicola (Author) |
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ISBN: 0801890527 ISBN-13: 9780801890529 Publisher: Johns Hopkins University Press OUR PRICE: $77.90 Product Type: Hardcover - Other Formats Published: November 2008 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Matrices - Mathematics | Applied |
| Dewey: 512.943 |
| LCCN: 2007030657 |
| Physical Information: 1.3" H x 7.2" W x 9.2" (2.11 lbs) 520 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |