Download PDF An Introduction to Computational Physics, by Tao Pang
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An Introduction to Computational Physics, by Tao Pang
Download PDF An Introduction to Computational Physics, by Tao Pang
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Thoroughly updated and revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of recent progress in several areas of scientific computing. Tao Pang presents many step-by-step examples, including program listings in JavaTM, of practical numerical methods from modern physics and related areas. Now including many more exercises, the volume 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.
- Sales Rank: #148748 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2010-06-10
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x .83" w x 7.44" l, 1.58 pounds
- Binding: Paperback
- 402 pages
- Used Book in Good Condition
Review
"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
About the Author
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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Excellent primer in computational physics; needs more explanatory Java material
By un homme
I used this book for a graduate computational Physics course. It provides an excellent overview of the modern practice of the subject (including even new methods like genetic programming!), and has the great strength of coming with sample codes. These codes allow the student to work with examples, to get a feel for how to structure programs, and provide useful templates for working through the exercises. The one downside of the text is that while it beings with an introduction to Java, it only described the language; it does not teach it. It would be much improved with an introduction to the basics needed to understand, modify, and use the Java programs on Pang's website. If you are using this book and you do not yet know Java, I recommend either finding someone to teach you what you need to know, or seeking out another text to teach you the basics of Java. As a computational physics resource, highly recommended.
9 of 13 people found the following review helpful.
Thorough intro but...
By G. D.
Altohough I am not a fan of Fortran by any means the book (now that many of the original errors are corrected) is extremely thorough and readable, but be aware this is not necessarily for the neophyte. One MUST have a good knowledge of numerical anlaysis since derivations of relevant formulas is scant. The book's strength lies in the breadth of topics covered, here you will not find the often included "sport physics" chapter as an introduction, rather you are introduced to the most common numerical methods used by scientists when an analytical soultion is not feasible. The book does deal with many problems found int physics from scattering to quantum mechancis and molecular modelling, Monte Carlo methods and some case studies of applied physics e.g the chapter including ground water dynamics. In the last chapters the author wisely introduces symbolic computing using Mathematica as an example and this is applauded as many of us are not willing to reinvent the wheel since there many excellent programs like Maple, MathCad, FemLab etc and an introduction to the like is good. He also discusses parallel computing and this is also welcome as it has gained more prevalent use in computational sciences.
A complaint, since the book claims by its title no less, that it is an introduction to computational physics, there should have been explict chapters on or at least a chapter on Sports Physics, Astronomy, Cellular Automata. That said the case studies on molecular dynamics, nuclear waste storage and chaos are great.
All in all, a solid text but one should be aware of the fact that the author (and to some extent, rightly so) assumes that the reader has a solid grasp of numerical analsyis, calculus and physics. Having said that if you need a really simple and thorough, ground up introduction and haven't taken the aforementioned courses then try Giordano's Computational Physics, be warned if you are like me and can barely tolerate Fortran (I grew up on C/C++) then the True Basic code snippets (for Mac) in Giordano's book will irritate you to no end!!
1 of 1 people found the following review helpful.
Good but more advanced than the title suggests
By Jason Francis
This book covers an enormous amount of material and is loaded with interesting examples, making it a far better read than other introductory books that never manage to get past basic mechanics.
There is, however, a downside to that. This book isn't well suited to people who are completely new to programming or to people who don't have a fairly extensive physics/math background going in. I have a PhD in physics and there are points in this book that leave me scratching my head. The code examples can be a bit confusing because there are almost no comments. The text explains the methods, but it'd be far easier to follow if the code made some attempt to be understandable on its own.
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