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An Introduction to Computational Physics by Pang

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“Satisfaction Guaranteed! 100% Money Back Guarantee.Book is in typical used-Good Condition. Will ...
Book Title
An Introduction to Computational Physics
Topic
Object-Oriented Design
Narrative Type
Object-Oriented Design
Genre
N/A
Intended Audience
N/A
ISBN
9780521532761

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Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521532760
ISBN-13
9780521532761
eBay Product ID (ePID)
102817983

Product Key Features

Number of Pages
402 Pages
Language
English
Publication Name
Introduction to Computational Physics
Subject
Physics / Mathematical & Computational, Applied, Physics / General
Publication Year
2010
Features
Revised
Type
Textbook
Author
Tao Pang
Subject Area
Mathematics, Science
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
25.5 Oz
Item Length
9.7 in
Item Width
7.4 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
Reviews
Review of the hardback: 'This is an excellent textbook for course on computational physics and scientific computation.' Zentralblatt MATH, 'This is an excellent textbook for course on computational physics and scientific computation.'Zentralblatt MATH, "Overall, the book is clearly written. This book might be quite helpful to anyone working on the topics it covers. It provides insight into a great range of topics in mathematics, physics, and computing. The many exercises should benefit students. The many techniques discussed should suit workers in a variety of fields." David P. Maroun for Canadian Association of Physics, 'This is an excellent textbook for course on computational physics and scientific computation.' Zentralblatt MATH
TitleLeading
An
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
530.0285
Table Of Content
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.
Edition Description
Revised edition
Synopsis
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., Numerical simulation is now 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 several areas of scientific computing. The author presents many step-by-step examples, including program listings in Java, examples of practical numerical methods from modern physics, and areas in which computational physics has made significant progress in the last decade. The first half of the book deals with basic computational tools and routines, covering approximation and optimization of a function, 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. This 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. Book jacket., 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.

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