| 書目名稱 | Introduction to the Tools of Scientific Computing |
| 編輯 | Einar Smith |
| 視頻video | http://file.papertrans.cn/475/474441/474441.mp4 |
| 概述 | Surveys and compares many different programming languages.Helps to decide which programming language to use for which purpose.Programming concepts are introduced in well-known mathematical contexts |
| 叢書名稱 | Texts in Computational Science and Engineering |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Textbook 2022Latest edition |
| 關鍵詞 | Python; C; C++; Julia; MATLAB; Maple; distributed computing; OpenMPI; OpenMP; scientific computing; computatio |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-031-16972-4 |
| isbn_softcover | 978-3-031-16974-8 |
| isbn_ebook | 978-3-031-16972-4Series ISSN 1611-0994 Series E-ISSN 2197-179X |
| issn_series | 1611-0994 |
| copyright | Springer Nature Switzerland AG 2022 |
|Archiver|手機版|小黑屋|
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