An introduction to scientific computing with Matlab and Python tutorials[electronic resource]
- 作者: Xu, Sheng,
- 出版: Boca Raton, FL : CRC Press 2022.
- 版本: 1st ed.
- 稽核項: 1 online resource.
- 標題: MATLAB. , Numerical analysis , Python (Computer program language) , Data processing. , Numerical analysis Data processing.
- ISBN: 1003201695 , 9781003201694
- ISBN: 9781032063188 , 9781032063157
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: "This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing. This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions. Where is the method applied? How is the method developed? How is the method implemented? How well does the method work? The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9781003201694
- 系統號: 005338717
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing. This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions. *Where is the method applied? *How is the method developed? *How is the method implemented? *How well does the method work? The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills.
來源: Google Book
來源: Google Book
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