Đang chuẩn bị liên kết để tải về tài liệu:
An Introduction to Computational Physics Second Edition

.An Introduction to Computational Physics 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 JavaTM , 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,. | www.cambridge.org 978O521825696 Cambridge An Introduction to Computational Physics 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 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 the 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. Tao Pang is Professor of Physics at the University of Nevada Las Vegas. Following his higher education at Fudan University one of the most prestigious institutions in China he obtained his Ph.D. in condensed matter theory from the University of Minnesota in 1989. He then spent two years as a Miller Research Fellow at the University of California Berkeley before joining the physics faculty at the University of Nevada Las Vegas in the fall of 1991. He has been Professor of Physics at UNLV since 2002. His main areas of research include condensed matter theory and computational .