Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.... using the bond fluctuaa tion method to study the coilaglobule transition of a system of homopolymers on a simple cubic lattice. The linear dimension in the fourth dimension was only L4 I 2, so the system is composed of two threea dimensional lattices. Figure 4.28 shows data for the distribution of the number of contacts for different values of h when the system is deep in the collapsed state. ... or the PERM method (Grassberger 1997) described in Section 4.7.2, are very useful.

Title | : | A Guide to Monte Carlo Simulations in Statistical Physics |

Author | : | David P. Landau, Kurt Binder |

Publisher | : | Cambridge University Press - 2009-09-10 |

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