An Introduction to Computational Physics, 2/e

Tao Pang

  • 出版商: Cambridge University Press
  • 出版日期: 2006-02-13
  • 售價: $1,280
  • 貴賓價: 9.8$1,254
  • 語言: 英文
  • 頁數: 402
  • 裝訂: Hardcover
  • ISBN: 0521825695
  • ISBN-13: 9780521825696

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商品描述

Description

Thoroughly updated and revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of recent progress in several areas of scientific computing. The author presents many step-by-step examples, including program listings in JavaTM, of practical numerical methods from modern physics and related areas. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. Now including many more exercises, this can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.


• Detailed descriptions of the traditional computational methods


• Concise introductions to the newest developments in scientific computing


• Vivid and practical examples from contemporary physics and related fields, useful to students and researchers, includes extensive exercises


• Programs written in Java, one of the newest computer languages

 

Table of Contents

1. Introduction; 2. Approximation of a function; 3. Numerical calculus; 4. Ordinary differential equations; 5. Numerical methods for matrices; 6. Spectral analysis; 7. Partial differential equations; 8. Molecular dynamics simulations; 9. Modeling continuous systems; 10. Monte Carlo simulations; 11. Genetic algorithm and programming; 12. Numerical renormalization; References.