An Introduction to Computational Physics

3rd Auflage
ISBN: 978-1-009-71881-3
Verlag: Cambridge University Press

Buch, Englisch, 420 Seiten

This classic textbook, thoroughly revised and updated for its third edition, introduces the basic methods of computational physics. Clear, concise and practical, the new edition includes an additional chapter on machine learning and is supported with sample programs in Python. First, readers are presented with the numerical techniques that every computational scientist should have in their toolbox, including approximation of functions, numerical calculus, differential and partial differential equations, spectral analysis, linear algebra and matrix operations. The author then provides self-contained introductions to the research areas of molecular dynamics, fluid dynamics, Monte Carlo simulations, genetic algorithms and machine learning. Important concepts are illustrated with relevant examples, and each chapter concludes with a selection of exercises. Suitable for upper-division undergraduate to graduate courses on computational physics and scientific computing, this book is also a useful resource for anyone interested in using computation to solve scientific problems.

Autoren/Hrsg.

Pang, Tao

Inhaltsverzeichnis

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. Machine Learning.

Über Autor(innen)

Pang, Tao
Tao Pang has been Professor of Physics at the University of Nevada, Las Vegas (UNLV) since 2002. Following his higher education at Fudan University, one of the most dynamic and diverse institutions in China, he obtained his Ph.D. in condensed matter theory from the University of Minnesota in 1989. After his graduate studies, he spent two years as a Miller Research Fellow at the University of California, Berkeley, before joining the UNLV physics faculty in the fall of 1991. His main areas of research include condensed matter theory and computational physics.