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A First Course in Computational Physics, by Paul L. DeVries
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The rapid advancement of computational physics has left a gap in the available literature adequately covering this important subject. This book fills that need. It demonstrates how numerical methods are used to solve the problems that physicists face. Chapters discuss different types of computational problems, with exercises developed around problems of physical interest. Within each chapter, students are lead from discussions of elementary problems and simple numerical approaches through derivations of more complex and sophisticated methods. Includes non-standard material such as Monte Carlo Methods, orthogonal polynomials and computerized tomography, and uses FORTRAN as the programming language.
- Sales Rank: #2189049 in Books
- Published on: 1993-08
- Original language: English
- Number of items: 1
- Dimensions: 10.24" h x 1.18" w x 7.28" l, .0 pounds
- Binding: Hardcover
- 440 pages
Review
Instructor's Manual available. -- The publisher, John Wiley & Sons
From the Publisher
The rapid advancement of computational physics has left a gap in the available literature adequately covering this important subject. This book fills that need. It demonstrates how numerical methods are used to solve the problems that physicists face. Chapters discuss different types of computational problems, with exercises developed around problems of physical interest. Within each chapter, students are lead from discussions of elementary problems and simple numerical approaches through derivations of more complex and sophisticated methods. Includes non-standard material such as Monte Carlo Methods, orthogonal polynomials and computerized tomography, and uses FORTRAN as the programming language.
Most helpful customer reviews
2 of 2 people found the following review helpful.
very good book for numerical methods
By Samil Korkmaz
I found this book when I was trying to find an in-depth explanation about the step size updating scheme of the RKF45 method. I had seen some other books (Including Numerical Recipes) but this one was the easiest to understand. It has many examples, tips and tricks about practical problems. It is definetely a must for people interested in numerical methods.The only downside of it is its price.
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