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**About this book :- **
**Computational Physics, 2E ** written by
** Thijssen Jos **.

First published in 2007, this second edition describes the computational methods used in theoretical physics. New sections were added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from www.cambridge.org/9781107677135. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge of condensed matter theory and statistical physics.
It will be of interest to graduate students and researchers in theoretical, computational and experimental physics.

**Book Detail :- **
** Title: ** Computational Physics
** Edition: ** 2nd Edition
** Author(s): ** Thijssen Jos
** Publisher: ** Cambridge University Press
** Series: **
** Year: ** 2007
** Pages: ** 637
** Type: ** PDF
** Language: ** English
** ISBN: ** 978-0-521-83346-2
** Country: ** US
**Get this Books from Amazon **

**About Author :- **

The author ** Thijssen J. **, Kavli Institute of Nanoscience, Delft University of Technology.

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**Book Contents :- **
**Computational Physics, 2E ** written by
** Thijssen Jos **
cover the following topics.
'

1. Introduction

2. Quantum scattering with a spherically symmetric potential

3. The variational method for the Schrödinger equation

4. The Hartree–Fock method

5. Density functional theory

6. Solving the Schrödinger equation in periodic solids

7. Classical equilibrium statistical mechanics

8. Molecular dynamics simulations

9. Quantum molecular dynamics

10. The Monte Carlo method

11. Transfer matrix and diagonalisation of spin chains

12. Quantum Monte Carlo methods

13. The finite element method for partial differential equations

14. The lattice Boltzmann method for fluid dynamics

15. Computational methods for lattice field theories

16. High performance computing and parallelism

Appendix A Numerical methods

Appendix B Random number generators

Exercises

References

Index

**Note:-**

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