Computational physics

Computational physics

by Newman, Mark E. J.

Type Book
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This book explains the fundamentals of computational physics and describes the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher. The book begins with an introduction to Python, then moves on to a step-by-step description of the techniques of computational physics, with exa…

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Title Statements

  • Full title :Computational physics / Mark Newman.

Summary

This book explains the fundamentals of computational physics and describes the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher. The book begins with an introduction to Python, then moves on to a step-by-step description of the techniques of computational physics, with examples ranging from simple mechanics problems to complex calculations in quantum mechanics, electromagnetism, statistical mechanics, and more.

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Edition Statements

  • Publication Date:2013.
  • Edition:Revised and expanded

Publication Statements

  • Publisher(s):Createspace
  • Place of Publication:Washington (D.C.)
  • Language:eng
  • Publication Date:2013.

Notes

Includes index.

The Physical Object

  • Description:xi, 549 Seiten : : Illustrationen ; : 25 cm

Edition Identifiers

  • ISBN:9781480145511, 1480145513
  • oclc:ocn941163031
  • LC Classification:QC52

Table of Contents

IntroductionPython programming for physicists -- Graphics and visualization -- Accuracy and speed -- Integrals and derivatives -- Solution of linear and nonlinear equations -- Fourier transforms -- Ordinary differential equations -- Partial differential equations -- Random processes and Monte Carlo methods -- Using what you have learned -- Appendices -- Index.

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Subjects

Computerphysik Physics -- Data processing Physique -- Informatique Python Python (Computer program language) Python (Langage de programmation)

Writers

Newman, Mark E. J.

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