Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
暫譯: 大型稀疏線性系統的迭代方法與預處理及其應用 (Chapman & Hall/CRC 數學專題與研究筆記)

Daniele Bertaccini, Fabio Durastante

  • 出版商: Chapman and Hall/CRC
  • 出版日期: 2018-02-28
  • 售價: $6,950
  • 貴賓價: 9.5$6,603
  • 語言: 英文
  • 頁數: 374
  • 裝訂: Hardcover
  • ISBN: 1498764169
  • ISBN-13: 9781498764162
  • 海外代購書籍(需單獨結帳)

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商品描述

This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.

The solution of large and sparse linear systems is the most time-consuming part for most of the scientific computing simulations. Indeed, mathematical models become more and more accurate by including a greater volume of data, but this requires the solution of larger and harder algebraic systems. In recent years, research has focused on the efficient solution of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.

商品描述(中文翻譯)

本書以基本的方式描述了對於一些最重要的大型稀疏線性系統,最有用且有效的迭代求解器和適當的預處理技術。

解決大型稀疏線性系統是大多數科學計算模擬中最耗時的部分。事實上,數學模型透過包含更大量的數據而變得越來越準確,但這需要解決更大且更困難的代數系統。近年來,研究重點集中在使用迭代求解器有效解決由數值模型離散化所產生的大型稀疏和/或結構化系統。