Direct Methods for Sparse Matrices (Monographs on Numerical Analysis)

Duff, Iain S.; Erisman, A. M.; Reid, John Ker

ISBN 10: 0198534086 / ISBN 13: 9780198534082

Published by Oxford University Press, 1987

About this Item

Hardback in very good condition. A little highlighting.

Seller Inventory # 175669

Bibliographic Details

• Title: Direct Methods for Sparse Matrices (Monographs on Numerical Analysis)
• Publisher: Oxford University Press
• Publication Date: 1987
• Language: English
• ISBN 10: 0198534086
• ISBN 13: 9780198534082
• Binding: Hardcover
• Condition: Very Good
• Seller catalogs:
  • Mathematics

About this title

Synopsis

The subject of sparse matrices has its roots in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Mathematical models in all these areas give rise to very large systems of linear equations which could not be solved were it not for the fact that the matrices contain relatively few non-zero entries. Only comparatively recently, in the last fifteen years or so, has it become apparent that the equations can be solved even when the pattern is irregular, and it is primarily the solution of such problems that is considered in this book. The subject is intensely practical and this book is written with practicalities ever in mind. Whenever two methods are applicable, their rival merits are considered, and conclusions are based on practical experience where theoretical comparison is not possible. Non-numeric computing techniques have been included, as well as frequent illustrations, in an attempt to bridge the usually wide gap between the printed page and the working computer code. Despite this practical bias, it is recognized that many aspects of the subject are of interest in their own right, and the book aims to be suitable also for a student course, probably at MSc level. Exercises have been included to illustrate and strengthen understanding of the material, as well as to extend it. Efficient use of sparsity is a key to solving large problems in many fields. This book will supply both insight and answers for those attempting to solve these problems.

Review

[T]his book is a well written and authoritative reference that should be of interest to anyone involved in the implementation of sparse LU factorization software (Brian Borchers, MAA Reviews)