A thorough and elegant treatment of the theory of matrix functions and numerical methods for computing them, including an overview of applications, new and unpublished research results, and improved algorithms. Key features include a detailed treatment of the matrix sign function and matrix roots; a development of the theory of conditioning and properties of the Fréchet derivative; Schur decomposition; block Parlett recurrence; a thorough analysis of the accuracy, stability, and computational cost of numerical methods; general results on convergence and stability of matrix iterations; and a chapter devoted to the f(A)b problem. Ideal for advanced courses and for self-study, its broad content, references and appendix also make this book a convenient general reference. Contains an extensive collection of problems with solutions and MATLAB implementations of key algorithms.

Author: Nicholas J. Higham
Binding Type: Hardcover
Publisher: Society for Industrial and Applied Mathematic
Published: 09/11/2008
Pages: 450
Weight: 2lbs
Size: 10.20h x 7.30w x 1.00d
ISBN: 9780898716467


Review Citation(s):
Scitech Book News 06/01/2008 pg. 29

About the Author
Higham, Nicholas J.: - Nicholas J. Higham, FRS, is Richardson Professor of Applied Mathematics at the University of Manchester, UK.