Numerical methods in physics with Python[electronic resource]

  • 作者: Gezerlis, Alex.
  • 出版: Cambridge : Cambridge University Press 2020.
  • 稽核項: xviii, 586 p. :ill., digital ;24 cm.
  • 標題: Numerical analysis , Python (Computer program language) , Mathematical physics , Data processing. , Numerical analysis Data processing. , Mathematical physics Data processing.
  • ISBN: 1108738931 , 9781108738934
  • 試查全文@TNUA:
  • 附註: Title from publisher's bibliographic system (viewed on 14 Aug 2020). Idiomatic Python -- Numbers -- Derivatives -- Matrices -- Roots -- Approximation -- Integrals -- Differential Equations.
  • 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. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which 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/10.1017/9781108772310
  • 系統號: 005325588
  • 資料類型: 電子書
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  • 引用網址: 複製連結