An introduction to computational physics / Tao Pang.
2006
QC52 P36 2006eb
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Details
Title
An introduction to computational physics / Tao Pang.
Author
Edition
2nd ed.
ISBN
0511140460 (electronic bk.)
9780511140464 (electronic bk.)
051113794X (electronic bk. ; Adobe Reader)
9780511137945 (electronic bk. ; Adobe Reader)
9780511800870 (electronic bk.)
0511800878 (electronic bk.)
9780511139710
0511139713
9780521532761 (paperback)
0521532760
0521825695 (hbk.)
9780521825696 (hbk.)
9780511140464 (electronic bk.)
051113794X (electronic bk. ; Adobe Reader)
9780511137945 (electronic bk. ; Adobe Reader)
9780511800870 (electronic bk.)
0511800878 (electronic bk.)
9780511139710
0511139713
9780521532761 (paperback)
0521532760
0521825695 (hbk.)
9780521825696 (hbk.)
Imprint
Cambridge : Cambridge University Press, 2006.
Language
English
Description
1 online resource (1 volume)
Call Number
QC52 P36 2006eb
System Control No.
(OCoLC)63814390
Summary
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.
Note
Previous edition: 1997.
Bibliography, etc. Note
Includes bibliographical references.
Formatted Contents Note
Approximation of a function
Numerical calculus
Ordinary differential equations
Numerical methods for matrices
Spectral analysis
Partial differential equations
Molecular dynamics simulations
Modeling continuous systems
Monte Carlo simulations
Genetic algorithm and programming
Numerical renormalization.
Numerical calculus
Ordinary differential equations
Numerical methods for matrices
Spectral analysis
Partial differential equations
Molecular dynamics simulations
Modeling continuous systems
Monte Carlo simulations
Genetic algorithm and programming
Numerical renormalization.
Source of Description
Print version record.
Available in Other Form
Print version: Pang, Tao, 1959- Introduction to computational physics. 2nd ed. Cambridge : Cambridge University Press, 2006
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