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Computational science and engineering

作者: Gilbert Strang
出版商: Wellesley, MA : Wellesley-Cambridge Press, ©2007.
版本/格式:   圖書 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
Encompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists (and many more on MIT's OpenCourseWare 18.085-6) ... The book is solution-based and not formula-based: it integrates  再讀一些...
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類型/形式: Lehrbuch
資料類型: 網際網路資源
文件類型: 圖書, 網路資源
所有的作者/貢獻者: Gilbert Strang
ISBN: 0961408812 9780961408817
OCLC系統控制編碼: 176240837
描述: xi, 716 p. : ill. ; 27 cm.
内容: Applied linear algebra --
A framework for applied mathematics --
Boundary value problems --
Fourier series and integrals --
Analytic functions --
Initial value problems --
Solving large systems --
Optimization and minimum principles. Applied Linear Algebra A Framework for Applied Mathematics Boundary Value Problems Fourier Series and Integrals Analytic Functions Initial Value Problems Solving Large Systems Solving Large Systems Optimization and Minimum Principles Appendix: Linear Algebra in a Nutshell Appendix: Sampling and Aliasing Appendix: Computational Science and Engineering.
責任: Gilbert Strang.
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摘要:

Encompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists (and many more on MIT's OpenCourseWare 18.085-6) ... The book is solution-based and not formula-based: it integrates analysis and algorithms and MATLAB codes to explain each topic as effectively as possible. The topics include applied linear algebra and fast solvers, differential equations with finite differences and finite elements, Fourier analysis and optimization. This book also serves as a reference for the whole community of computational scientists and engineers. Supporting resources, including MATLAB codes, problem solutions and video lectures from Gilbert Strang's 18.085 courses at MIT, are provided at math.mit.edu/cse"--Publisher's website.

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