Synopsis
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.
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Book Description
Thoroughly updated and revised for its second edition, this advanced textbook provides an introduction to the methods of computational physics, and offers an overview of recent progress in several areas of scientific computing. At every stage, important concepts are illustrated with relevant step-by-step examples, including program listings in JavaTM and exercises. Aimed at 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.
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.
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Paperback. Condition: New. 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. Seller Inventory # LU-9780521532761
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