Matrix Iterative Analysis

Richard S. Varga

ISBN 10: 3540663215 / ISBN 13: 9783540663218

Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 1999

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540663218

Bibliographic Details

• Title: Matrix Iterative Analysis
• Publisher: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Publication Date: 1999
• Language: English
• ISBN 10: 3540663215
• ISBN 13: 9783540663218
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 239W x 159H x 20D millimeters 239 millimeters width by 159 millimeters height by 20 millimeters depth
• Weight: 1540 grams

About this title

Synopsis

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.