Introduction to the Tools of Scientific Computing / by Einar Smith
(Texts in Computational Science and Engineering. ISSN:2197179X ; 25)
データ種別 | 電子ブック |
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版 | 2nd ed. 2022. |
出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2022 |
大きさ | XIII, 428 p. 1 illus : online resource |
著者標目 | *Smith, Einar author SpringerLink (Online service) |
書誌詳細を非表示
一般注記 | Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas. Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes. At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated HTTP:URL=https://doi.org/10.1007/978-3-031-16972-4 |
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件 名 | LCSH:Mathematics -- Data processing
全ての件名で検索
LCSH:Computer science -- Mathematics 全ての件名で検索 FREE:Computational Mathematics and Numerical Analysis FREE:Mathematics of Computing |
分 類 | LCC:QA71-90 DC23:518 |
書誌ID | EB00000976 |
ISBN | 9783031169724 |
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