ENGLISH

Fundamentals of matrix computations

Book information

Publisher
Wiley
Year
2004
ISBN
0471461679, 9780471461678, 9780471213949, 9780471249719
DOI
10.1002/0471249718
Google Books ID
xi5omWiQ-3kC
Language
english
Format
PDF
Filesize
23 MB (23771897 bytes)
Series
Pure and applied mathematics: A Wiley series of texts, monographs and tracts (volume 64)
Edition
2
Pages
640\634
Orientation
yes
Scanned
yes
Time added
2013-05-11 14:33:58

Description

A significantly revised and improved introduction to a critical aspect of scientific computationMatrix computations lie at the heart of most scientific computational tasks. For any scientist or engineer doing large-scale simulations, an understanding of the topic is essential. Fundamentals of Matrix Computations, Second Edition explains matrix computations and the accompanying theory clearly and in detail, along with useful insights.This Second Edition of a popular text has now been revised and improved to appeal to the needs of practicing scientists and graduate and advanced undergraduate students. New to this edition is the use of MATLAB for many of the exercises and examples, although the Fortran exercises in the First Edition have been kept for those who want to use them. This new edition includes:* Numerous examples and exercises on applications including electrical circuits, elasticity (mass-spring systems), and simple partial differential equations* Early introduction of the singular value decomposition* A new chapter on iterative methods, including the powerful preconditioned conjugate-gradient method for solving symmetric, positive definite systems* An introduction to new methods for solving large, sparse eigenvalue problems including the popular implicitly-restarted Arnoldi and Jacobi-Davidson methodsWith in-depth discussions of such other topics as modern componentwise error analysis, reorthogonalization, and rank-one updates of the QR decomposition, Fundamentals of Matrix Computations, Second Edition will prove to be a versatile companion to novice and practicing mathematicians who seek mastery of matrix computation.

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