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An Introduction to Computational Physics书籍详细信息
- ISBN：9780521825696
- 作者：暂无作者
- 出版社：暂无出版社
- 出版时间：2006-01
- 页数：385
- 价格：423.50
- 纸张：胶版纸
- 装帧：精装
- 开本：16开
- 语言：未知
- 丛书：暂无丛书
- TAG：暂无
- 豆瓣评分：暂无豆瓣评分
内容简介：
Thoroughly revised for its second edition, this advanced
textbook provides an introduction to the basic methods of
computational physics, and an overview of progress in several areas
of scientific computing by relying on free software available from
CERN. 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. It includes 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.
书籍目录：
Preface to first edition
Preface
Acknowledgements
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
Index
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书籍介绍
Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. 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. It includes 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.
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