9780898713961-089871396X-Iterative Methods for Solving Linear Systems (Frontiers in Applied Mathematics, Series Number 17)

Iterative Methods for Solving Linear Systems (Frontiers in Applied Mathematics, Series Number 17)

ISBN-13: 9780898713961
ISBN-10: 089871396X
Edition: 1
Author: Anne Greenbaum
Publication date: 1987
Publisher: Society for Industrial and Applied Mathematics
Format: Paperback 234 pages
FREE US shipping
Rent
35 days
from $16.44 USD
FREE shipping on RENTAL RETURNS
Buy

From $43.66

Rent

From $16.44

Book details

ISBN-13: 9780898713961
ISBN-10: 089871396X
Edition: 1
Author: Anne Greenbaum
Publication date: 1987
Publisher: Society for Industrial and Applied Mathematics
Format: Paperback 234 pages

Summary

Iterative Methods for Solving Linear Systems (Frontiers in Applied Mathematics, Series Number 17) (ISBN-13: 9780898713961 and ISBN-10: 089871396X), written by authors Anne Greenbaum, was published by Society for Industrial and Applied Mathematics in 1987. With an overall rating of 4.5 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Iterative Methods for Solving Linear Systems (Frontiers in Applied Mathematics, Series Number 17) (Paperback, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $14.8.

Description

Much recent research has concentrated on the efficient solution of large sparse or structured linear systems using iterative methods. A language loaded with acronyms for a thousand different algorithms has developed, and it is often difficult even for specialists to identify the basic principles involved. Here is a book that focuses on the analysis of iterative methods. The author includes the most useful algorithms from a practical point of view and discusses the mathematical principles behind their derivation and analysis. Several questions are emphasized throughout: Does the method converge? If so, how fast? Is it optimal, among a certain class? If not, can it be shown to be near-optimal? The answers are presented clearly, when they are known, and remaining important open questions are laid out for further study.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book