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Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational
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Henk A. van der Vorst 作者
Cambridge University Press
譯者
2009-11-09 出版日期
236 頁數
USD 43.00 價格
Paperback
Cambridge Monographs on Applied and Computational Mathematics 叢書系列
9780521183703 圖書編碼

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Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 用戶評價

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Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 著者簡介

Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 著者簡介

Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational 在線電子書 圖書描述

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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