國立虎尾科技大學 |

Iterative Krylov methods for large linear systems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Iterative Krylov methods for large linear systems // Henk A. van der Vorst.
作者:	Vorst, H. A. van der,
面頁冊數:	1 online resource (xiii, 221 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Linear systems. -
電子資源:	https://doi.org/10.1017/CBO9780511615115
ISBN:	9780511615115 (ebook)

Iterative Krylov methods for large linear systems /
Vorst, H. A. van der,1944-

Iterative Krylov methods for large linear systems /Henk A. van der Vorst. - 1 online resource (xiii, 221 pages) :digital, PDF file(s). - Cambridge monographs on applied and computational mathematics ;13. - Cambridge monographs on applied and computational mathematics ;16..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Computational simulation of scientific phenomena and engineering problems often depends on solving linear systems with a large number of unknowns. This book gives insight into the construction of iterative methods for the solution of such systems and helps the reader to select the best solver for a given class of problems. The emphasis is on the main ideas and how they have led to efficient solvers such as CG, GMRES, and BI-CGSTAB. The author also explains the main concepts behind the construction of preconditioners. The reader is encouraged to gain experience by analysing numerous examples that illustrate how best to exploit the methods. The book also hints at many open problems and as such it will appeal to established researchers. There are many exercises that motivate the material and help students to understand the essential steps in the analysis and construction of algorithms.

ISBN: 9780511615115 (ebook)Subjects--Topical Terms:

528052
Linear systems.

LC Class. No.: QA297.8 / .V67 2003

Dewey Class. No.: 511/.4

Iterative Krylov methods for large linear systems /
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520 $a Computational simulation of scientific phenomena and engineering problems often depends on solving linear systems with a large number of unknowns. This book gives insight into the construction of iterative methods for the solution of such systems and helps the reader to select the best solver for a given class of problems. The emphasis is on the main ideas and how they have led to efficient solvers such as CG, GMRES, and BI-CGSTAB. The author also explains the main concepts behind the construction of preconditioners. The reader is encouraged to gain experience by analysing numerous examples that illustrate how best to exploit the methods. The book also hints at many open problems and as such it will appeal to established researchers. There are many exercises that motivate the material and help students to understand the essential steps in the analysis and construction of algorithms.
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