Matrix Computations and Semiseparable Matrices: Eigenvalue and Singular Value Methods

The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices.\n\nIn 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.Matrix Computations and Semiseparable Matrices: Eigenvalue and Singular Value Methods is written by Raf Vandebril; Marc Van Barel; Nicola Mastronardi and published by JHUP. ISBNs for Matrix Computations and Semiseparable Matrices are 9780801896804, 0801896800 and the print ISBNs are 9780801890529, 0801890527.