Scientific computing : an introductory survey
著者
書誌事項
Scientific computing : an introductory survey
（Classics in applied mathematics, 80）
Society for Industrial and Applied Mathematics, c2018
Rev. 2nd ed
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注記
"This SIAM edition is a republication (with minor updating) of the second edition published by McGraw-Hill in 2002" --T.p. verso
Bibliography: p. 522-552
Includes index
内容説明・目次
内容説明
This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.
In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book.
Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
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