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Matrix Iterative Analysis: Springer Series in Computational Mathematics, cartea 27

Autor Richard S Varga
en Limba Engleză Hardback – 17 noi 1999
This is the softcover reprint of a very popular hardcover edition, a revised version of the first edition, originally published by Prentice Hall in 1962 and regarded as a classic in its field. In some places, newer research results, e.g. results on weak regular splittings, have been incorporated in the revision, and in other places, new material has been added in the chapters, as well as at the end of chapters, in the form of additional up-to-date references and some recent theorems to give the reader some newer directions to pursue. The material in the new chapters is basically self-contained and more exercises have been provided for the readers. While the original version was more linear algebra oriented, the revision attempts to emphasize tools from other areas, such as approximation theory and conformal mapping theory, to access newer results of interest. The book should be of great interest to researchers and graduate students in the field of numerical analysis.
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Specificații

ISBN-13: 9783540663218
ISBN-10: 3540663215
Pagini: 372
Ilustrații: X, 358 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.69 kg
Ediția:2nd rev. and exp. ed. 2000
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Computational Mathematics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Matrix Properties and Concepts.- Nonnegative Matrices.- Basic Iterative Methods and Comparison Theorems.- Successive Overrelaxation Iterative Methods.- Semi-Iterative Methods.- Derivation and Solution of Elliptic Difference Equations.- Alternating-Direction Implicit Iterative Methods.- Matrix Methods for Parabolic Partial Differential Equations.- Estimation of Acceleration Parameters.

Caracteristici

A monograph by a famous numerical analyst A classic in a revised and expanded edition Includes supplementary material: sn.pub/extras