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Titlebook: Computer Simulation Methods in Theoretical Physics; Dieter W. Heermann Textbook 19861st edition Springer-Verlag Berlin Heidelberg 1986 Dyn

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樓主
發(fā)表于 2025-3-21 18:15:16 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computer Simulation Methods in Theoretical Physics
編輯Dieter W. Heermann
視頻videohttp://file.papertrans.cn/234/233884/233884.mp4
圖書封面Titlebook: Computer Simulation Methods in Theoretical Physics;  Dieter W. Heermann Textbook 19861st edition Springer-Verlag Berlin Heidelberg 1986 Dyn
描述Appropriately for a book having the title "Computer Simulation Methods in Theoretical Physics", this book begins with a disclai- mer. It does not and cannot give a complete introduction to simu- lational physics. This exciting field is too new and is expanding too rapidly for even an attempt to be made. The intention here is to present a selection of fundamental techniques that are now being widely applied in many areas of physics, mathematics, chem- istry and biology. It is worth noting that the methods are not only applicable in physics. They have been successfully used in other sciences, showing their great flexibility and power. This book has two main chapters (Chaps. 3 and 4) dealing with deterministic and stochastic computer simulation methods. Under the heading "deterministic" are collected methods involving classical dynamics, i.e. classical equations of motion, which have become known as the molecular dynamics simulation method. The se- cond main chapter deals with methods that are partly or entirely of a stochastic nature. These include Brownian dynamics and the Monte Carlo method. To aid understanding of the material and to develop intuition, problems are included at the
出版日期Textbook 19861st edition
關鍵詞Dynamics; Monte Carlo; Monte Carlo method; Theoretical physics; computer; computer simulation; simulation;
版次1
doihttps://doi.org/10.1007/978-3-642-96971-3
isbn_ebook978-3-642-96971-3
copyrightSpringer-Verlag Berlin Heidelberg 1986
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:14:04 | 只看該作者
s not and cannot give a complete introduction to simu- lational physics. This exciting field is too new and is expanding too rapidly for even an attempt to be made. The intention here is to present a selection of fundamental techniques that are now being widely applied in many areas of physics, math
板凳
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The Community Resilience Readeremodynamic limit) which connects each side of the lattice with the opposite side. To phrase it in other words, the fraction of sites belonging to the largest cluster is zero below p. for an infinite lattice and unity at and above p..
地板
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Totalitarian Subject(s) and Literature,iption, the formulation has to be modified. In any case, the formulation leads to differential equations of motion. These equations will be discretized to generate a path in phase space, along which the properties are computed.
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Deterministic Methods,iption, the formulation has to be modified. In any case, the formulation leads to differential equations of motion. These equations will be discretized to generate a path in phase space, along which the properties are computed.
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Food System Lessons from Vermonte the ability to study systems not yet tractable with analytical methods. The computer simulation approach allows one to study complex systems and gain insight into their behaviour. Indeed, the complexity can go far beyond the reach of present analytic methods.
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Introductory Examples, dimensional square lattice. Each lattice site can be either occupied or unoccupied. A site is occupied with a probability p € [0,1] and unoccupied with a probability 1-p. For p less than a certain probability p., there exist only finite clusters on the lattice. A . is a collection of occupied sites
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