This book provides an introduction to Monte Carlo simulations in classical statistical physics and is aimed both at students beginning work in the field and at more experienced researchers who wish to learn more about Monte Carlo methods. It includes methods for both equilibrium and out of equilibrium systems, and discusses in detail such common algorithms as the Metropolis and heat-bath algorithms, as well as more sophisticated ones such as continuous time Monte Carlo, cluster algorithms, multigrid methods, entropic sampling and simulated tempering. Data analysis techniques are also explained starting with straightforward measurement and error-estimation techniques and progressing to topics such as the single and multiple histogram methods and finite size scaling. The last few chapters of the book are devoted to implementation issues, including lattice representations, efficient implementation of data structures, multispin coding, parallelization of Monte Carlo algorithms, and random number generation. The book also includes example programs which show how to apply these techniques to a variety of well-known models.
"Sinopsis" puede pertenecer a otra edición de este libro.
Mark Newman is at Santa Fe Institute. G. T. Barkema is at Utrecht University.Review:
"This book is intended for those who are interested in the use of Monte Carlo simulations in classical statistical mechanics. Its primary goal is to explain how to perform such simulations efficiently. To this end, the authors discuss . . . some of the many interesting new algorithms designed to accelerate the simulation of particular classes of problems in statistical physics, such as cluster algorithms, multigrid methods, non-local algorithms for conserved-order-parameter models, entropic sampling, simulated tempering and continuous time Monte Carlo. The book is divided into three parts covering equilibrium (Chapters 1-8) and non-equilibrium (9-12) Monte Carlo simulations, and implementations (13-16). Each algorithm is introduced in the context of a particular model. For example, the Metropolis algorithm is illustrated by its application to the Ising model. A brief outline of the physics behind each model is always given."--Quarterly of Applied Mathematics
"Sobre este título" puede pertenecer a otra edición de este libro.
Descripción Oxford Univ Pr, 1999. Paperback. Estado de conservación: Brand New. illustrated edition. 496 pages. 9.50x6.50x1.00 inches. In Stock. Nº de ref. de la librería zk0198517971
Descripción Oxford University Press, USA, 1999. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX0198517971
Descripción Clarendon Press, 1999. Paperback. Estado de conservación: New. book. Nº de ref. de la librería M0198517971
Descripción Clarendon Press, 1999. Estado de conservación: new. Shiny and new! Expect delivery in 20 days. Nº de ref. de la librería 9780198517979-1
Descripción Clarendon Press, 1999. Paperback. Estado de conservación: New. Never used!. Nº de ref. de la librería P110198517971
Descripción Clarendon Press. PAPERBACK. Estado de conservación: New. 0198517971 New Condition. Nº de ref. de la librería NEW7.0045179