Introduction to the tools of scientific computing [electronic resource]

• 作者： Smith, Einar.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Texts in computational science and engineering ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 版本：Second edition.
• 叢書名： Texts in computational science and engineering,v. 25
• 主題： Computer science--Mathematics. , Computational Mathematics and Numerical Analysis. , Mathematics of Computing.
• ISBN： 9783031169724 (electronic bk.) 、 9783031169717 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.
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• 摘要註: 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.
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