Numerical methods in physics with Python[electronic resource]

  • 作者: Gezerlis, Alex.
  • 出版: Cambridge, United Kingdom ;New York : Cambridge University Press 2023.
  • 版本: Second edition.
  • 稽核項: xvi, 688 p. :ill., digital ;26 cm.
  • 標題: Numerical analysis , Python (Computer program language) , Mathematical physics , Data processing. , Numerical analysis Data processing. , Mathematical physics Data processing.
  • ISBN: 1009303864 , 9781009303866
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  • 附註: Title from publisher's bibliographic system (viewed on 30 Aug 2023).
  • 摘要: Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
  • 電子資源: https://dbs.tnua.edu.tw/login?url=https://doi.org/10.1017/9781009303897
  • 系統號: 005338422
  • 資料類型: 電子書
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  • 引用網址: 複製連結