9780801887147-0801887143-Matrix Computations and Semiseparable Matrices: Linear Systems (Volume 1)

Matrix Computations and Semiseparable Matrices: Linear Systems (Volume 1)

ISBN-13: 9780801887147
ISBN-10: 0801887143
Edition: 1
Author: Raf Vandebril, Marc Van Barel, Nicola Mastronardi
Publication date: 2008
Publisher: Johns Hopkins University Press
Format: Hardcover 584 pages
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Book details

ISBN-13: 9780801887147
ISBN-10: 0801887143
Edition: 1
Author: Raf Vandebril, Marc Van Barel, Nicola Mastronardi
Publication date: 2008
Publisher: Johns Hopkins University Press
Format: Hardcover 584 pages

Summary

Matrix Computations and Semiseparable Matrices: Linear Systems (Volume 1) (ISBN-13: 9780801887147 and ISBN-10: 0801887143), written by authors Raf Vandebril, Marc Van Barel, Nicola Mastronardi, was published by Johns Hopkins University Press in 2008. With an overall rating of 4.0 stars, it's a notable title among other Applied (Matrices, Mathematics, Pure Mathematics) books. You can easily purchase or rent Matrix Computations and Semiseparable Matrices: Linear Systems (Volume 1) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

In recent years several new classes of matrices have been discovered and their structure exploited to design fast and accurate algorithms. In this new reference work, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi present the first comprehensive overview of the mathematical and numerical properties of the family's newest member: semiseparable matrices.

The text is divided into three parts. The first provides some historical background and introduces concepts and definitions concerning structured rank matrices. The second offers some traditional methods for solving systems of equations involving the basic subclasses of these matrices. The third section discusses structured rank matrices in a broader context, presents algorithms for solving higher-order structured rank matrices, and examines hybrid variants such as block quasiseparable matrices. An accessible case study clearly demonstrates the general topic of each new concept discussed. Many of the routines featured are implemented in Matlab and can be downloaded from the Web for further exploration.

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