Numerical methods for general and structured eigenvalue problems /

Saved in:
Bibliographic Details
Author / Creator:Kressner, Daniel.
Imprint:Berlin : Springer, 2005.
Description:1 online resource (xiv, 258 p.) : ill.
Language:English
Series:Lecture notes in computational science and engineering, 1439-7358 ; 46
Lecture notes in computational science and engineering ; 46.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8875673
Hidden Bibliographic Details
ISBN:9783540285021
3540285024
Notes:Includes bibliographical references (p. [233]-251) and index.
Description based on print version record.
Summary:This book is about computing eigenvalues, eigenvectors and invariant subspaces of matrices. The treatment includes generalized and structured eigenvalue problems, such as Hamiltonian or product eigenvalue problems. All vital aspects of eigenvalue computations are covered: theory, perturbation analysis, algorithms, high performance methodologies and software. The reader will learn about recently developed techniques which substantially improve the performance of some of the most widely numerical methods, the QR and the QZ algorithm as well as Krylov subspace methods. A unique feature of this bo
Other form:Print version: Kressner, Daniel. Numerical methods for general and structured eigenvalue problems. Berlin : Springer, 2005 3540245464 9783540245469