An Introduction to Computational Physics
Seiten
2006
|
2nd Revised edition
Cambridge University Press (Verlag)
978-0-521-82569-6 (ISBN)
Cambridge University Press (Verlag)
978-0-521-82569-6 (ISBN)
This advanced textbook, revised for its second edition, provides an introduction to the methods and tools of computational physics, and offers an overview of progress in scientific computing. Important concepts are illustrated with relevant step-by-step examples with exercises.
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.
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.
Tao Pang is Professor of Physics at the University of Nevada, Las Vegas. His main areas of research include condensed matter theory and computational physics.
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.
| Erscheint lt. Verlag | 19.1.2006 |
|---|---|
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 196 x 254 mm |
| Gewicht | 1034 g |
| Themenwelt | Naturwissenschaften ► Physik / Astronomie ► Allgemeines / Lexika |
| ISBN-10 | 0-521-82569-5 / 0521825695 |
| ISBN-13 | 978-0-521-82569-6 / 9780521825696 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Band 1: Mechanik und Thermodynamik
Buch | Softcover (2022)
Wiley-VCH (Verlag)
CHF 55,85
für Studierende der Naturwissenschaften und Technik
Buch | Hardcover (2024)
Springer Spektrum (Verlag)
CHF 109,95
