| 期刊全稱 | Basic Concepts in Computational Physics | | 影響因子2023 | Benjamin A. Stickler,Ewald Schachinger | | 視頻video | http://file.papertrans.cn/181/180977/180977.mp4 | | 發(fā)行地址 | Now with ready to use C++ program code available online.Contains heavily expanded chapters on molecular dynamics, PDEs, random generators, Monte Carlo applications, data analysis and data optimization | | 圖書封面 |  | | 影響因子 | .This new edition is a concise introduction to the basic methods of computational physics. Readers?will discover the benefits of numerical methods for solving complex mathematical problems and for the?direct simulation of physical processes.. The book is divided into two main parts: Deterministic methods and stochastic methods in computational?physics. Based on concrete problems, the first part discusses numerical differentiation and integration, as well as the treatment of ordinary differential equations. This is extended by a brief introduction to the?numerics of partial differential equations. The second part deals with the generation of random numbers,?summarizes the basics of stochastics, and subsequently introduces Monte-Carlo (MC) methods. Specific?emphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochastic?optimization. All this is again motivated and augmented by applications from physics. Inaddition, the book?offers a number of appendices to provide the reader with information on topics not discussed in the main text.. Numerous problems with worked-out solutions, chapter introductions and summaries, together with a clear?and appl | | Pindex | Textbook 2016Latest edition |
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