Iterative Methods for Sparse Linear Systems

Iterative Methods for Sparse Linear Systems
Author :
Publisher : SIAM
Total Pages : 537
Release :
ISBN-10 : 9780898715347
ISBN-13 : 0898715342
Rating : 4/5 (342 Downloads)

Book Synopsis Iterative Methods for Sparse Linear Systems by : Yousef Saad

Download or read book Iterative Methods for Sparse Linear Systems written by Yousef Saad and published by SIAM. This book was released on 2003-04-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- General.


Iterative Methods for Sparse Linear Systems Related Books

Iterative Methods for Sparse Linear Systems
Language: en
Pages: 537
Authors: Yousef Saad
Categories: Mathematics
Type: BOOK - Published: 2003-04-01 - Publisher: SIAM

GET EBOOK

Mathematics of Computing -- General.
Iterative Krylov Methods for Large Linear Systems
Language: en
Pages: 242
Authors: H. A. van der Vorst
Categories: Mathematics
Type: BOOK - Published: 2003-04-17 - Publisher: Cambridge University Press

GET EBOOK

Table of contents
Iterative Solution of Large Linear Systems
Language: en
Pages: 599
Authors: David M. Young
Categories: Mathematics
Type: BOOK - Published: 2014-05-10 - Publisher: Elsevier

GET EBOOK

Iterative Solution of Large Linear Systems describes the systematic development of a substantial portion of the theory of iterative methods for solving large li
Iterative Methods for Linear Systems
Language: en
Pages: 257
Authors: Maxim A. Olshanskii
Categories: Mathematics
Type: BOOK - Published: 2014-07-21 - Publisher: SIAM

GET EBOOK

Iterative Methods for Linear Systems?offers a mathematically rigorous introduction to fundamental iterative methods for systems of linear algebraic equations. T
Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications
Language: en
Pages: 321
Authors: Daniele Bertaccini
Categories: Mathematics
Type: BOOK - Published: 2018-02-19 - Publisher: CRC Press

GET EBOOK

This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important c