### Highlight of the Book

**Book Title:**
An Introduction
to Computational Physics, 2nd Edition

**Author:**
Tao Pang

**Publisher:**
Cambridge University Press

**Publication Place:** Cambridge, United Kingdom

**Publication Date:** February 2006

**ISBN:** 0-521-82569-5 (hardback)

**List Price:** $70.00

**Other Info:** 402 Pages; 246 x 189 mm; 37 Line Diagrams; 3 Tables;
169 Exercises; Bibliography; and Index

**An Introduction to Computational Physics, 2nd Edition:**

Numerical simulation has become an integrated part of science and technology.
Now in its second edition, this comprehensive textbook provides an introduction
to the basic methods of computational physics, as well as an overview of recent
progress in scientific computing. The author presents many step-by-step
examples from modern physics and related areas in which computational
physics has made significant progress in the last decade, often with
program listings in Java.
The first half of the book deals with basic computational tools and routines,
covering approximation of a function, numerical calculus and optimization of
a function, differential equations, schemes to solve matrix and linear equation
problems, and spectral analysis and Gaussian quadratures. Important concepts
are illustrated from many revealing examples at each stage.
In the second half of the book, the author also discusses more advanced
topics, such as partial differential equations, molecular dynamics simulation,
modeling continuous systems, Monte Carlo methods, genetic algorithm and
programming, and numerical renormalization.

The new edition has been thoroughly revised and includes many more examples
and exercises. It 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.

**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; Index.
For a detailed table of contents, click more
here.

**How to order:**

If you want to know how to order the book, click
ordering information here.