ISBN-10:
0898714710
ISBN-13:
9780898714715
Pub. Date:
01/28/2000
Publisher:
SIAM
Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

Paperback

Current price is , Original price is $71.0. You
Select a Purchase Option (New Edition)
  • purchase options

Overview

Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

Large-scale problems of engineering and scientific computing often require solutions of eigenvalue and related problems. This book gives a unified overview of theory, algorithms, and practical software for eigenvalue problems. It organizes this large body of material to make it accessible for the first time to the many nonexpert users who need to choose the best state-of-the-art algorithms and software for their problems. Using an informal decision tree, just enough theory is introduced to identify the relevant mathematical structure that determines the best algorithm for each problem. The algorithms and software at the 'leaves' of the decision tree range from the classical QR algorithm, which is most suitable for small dense matrices, to iterative algorithms for very large generalized eigenvalue problems. Algorithms are presented in a unified style as templates, with different levels of detail suitable for readers ranging from beginning students to experts.

Product Details

ISBN-13: 9780898714715
Publisher: SIAM
Publication date: 01/28/2000
Series: Software, Environments, and Tools Series
Edition description: New Edition
Pages: 410
Product dimensions: 5.98(w) x 8.98(h) x 0.94(d)

Table of Contents

List of symbols and acronyms; List of iterative algorithm templates; List of direct algorithms; List of figures; List of tables; 1: Introduction; 2: A brief tour of Eigenproblems; 3: An introduction to iterative projection methods; 4: Hermitian Eigenvalue problems; 5: Generalized Hermitian Eigenvalue problems; 6: Singular Value Decomposition; 7: Non-Hermitian Eigenvalue problems; 8: Generalized Non-Hermitian Eigenvalue problems; 9: Nonlinear Eigenvalue problems; 10: Common issues; 11: Preconditioning techniques; Appendix: of things not treated; Bibliography; Index .

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews