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Monte Carlo Methods In Statistical Physics

Author: M. E. J. Newman
Publisher: Clarendon Press
ISBN: 9780198517979
Size: 47.75 MB
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This book provides an introduction to the use of Monte Carlo computer simulation methods suitable for beginning graduate students and beyond. It is suitable for a course text for physics or chemistry departments or for self-teaching.

Monte Carlo Methods In Statistical Physics

Author: K. Murthy
Publisher: Universities Press
ISBN: 9788173714993
Size: 77.37 MB
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Monte Carlo simulations comprise a substantial part of the new and third major arm of investigation in the physical sciences that has emerged in recent times, to augment the traditional ones of experiment and theory. With the advent of high-speed digital computing, numerical simulations techniques like Monte Carlo have been very successful in extracting real world observations out of seemingly intractable theoretical models.

Monte Carlo Simulation In Statistical Physics

Author: Institut Fur Physik Kurt Binder
Publisher: Springer Science & Business Media
ISBN: 9783540432210
Size: 66.51 MB
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Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields. The authors provide an excellent introduction to the theory and practice of this method. Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods. It also contains a systematic presentation from which newcomers can learn to perform simulations. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added.

Monte Carlo Simulation In Statistical Physics

Author: Kurt Binder
Publisher: Springer Science & Business Media
ISBN: 9783642031632
Size: 38.46 MB
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Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methodsand gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.

Monte Carlo Methods In Statistical Physics

Author: Kurt Binder
Publisher: Springer Science & Business Media
ISBN: 3642828035
Size: 67.41 MB
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In the seven years since this volume first appeared. there has been an enormous expansion of the range of problems to which Monte Carlo computer simulation methods have been applied. This fact has already led to the addition of a companion volume ("Applications of the Monte Carlo Method in Statistical Physics", Topics in Current Physics. Vol . 36), edited in 1984, to this book. But the field continues to develop further; rapid progress is being made with respect to the implementation of Monte Carlo algorithms, the construction of special-purpose computers dedicated to exe cute Monte Carlo programs, and new methods to analyze the "data" generated by these programs. Brief descriptions of these and other developments, together with numerous addi tional references, are included in a new chapter , "Recent Trends in Monte Carlo Simulations" , which has been written for this second edition. Typographical correc tions have been made and fuller references given where appropriate, but otherwise the layout and contents of the other chapters are left unchanged. Thus this book, together with its companion volume mentioned above, gives a fairly complete and up to-date review of the field. It is hoped that the reduced price of this paperback edition will make it accessible to a wide range of scientists and students in the fields to which it is relevant: theoretical phYSics and physical chemistry , con densed-matter physics and materials science, computational physics and applied mathematics, etc.

Applications Of The Monte Carlo Method In Statistical Physics

Author: Kurt Binder
Publisher: Springer Science & Business Media
ISBN: 364251703X
Size: 36.48 MB
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Deals with the computer simulation of complex physical sys- tems encounteredin condensed-matter physics and statistical mechanics as well as in related fields such as metallurgy, polymer research, lattice gauge theory and quantummechanics.

A Guide To Monte Carlo Simulations In Statistical Physics

Author: David P. Landau
Publisher: Cambridge University Press
ISBN: 9780521653664
Size: 79.33 MB
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This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method. In addition they introduce quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. The book includes many applications, examples, and current references, and exercises to help the reader.

The Monte Carlo Method In Condensed Matter Physics

Author: Kurt Binder
Publisher: Springer Science & Business Media
ISBN: 3662028557
Size: 15.22 MB
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The Monte Carlo method is now widely used and commonly accepted as an important and useful tool in solid state physics and related fields. It is broadly recognized that the technique of "computer simulation" is complementary to both analytical theory and experiment, and can significantly contribute to ad vancing the understanding of various scientific problems. Widespread applications of the Monte Carlo method to various fields of the statistical mechanics of condensed matter physics have already been reviewed in two previously published books, namely Monte Carlo Methods in Statistical Physics (Topics Curro Phys. , Vol. 7, 1st edn. 1979, 2ndedn. 1986) and Applications of the Monte Carlo Method in Statistical Physics (Topics Curro Phys. , Vol. 36, 1st edn. 1984, 2nd edn. 1987). Meanwhile the field has continued its rapid growth and expansion, and applications to new fields have appeared that were not treated at all in the above two books (e. g. studies of irreversible growth phenomena, cellular automata, interfaces, and quantum problems on lattices). Also, new methodic aspects have emerged, such as aspects of efficient use of vector com puters or parallel computers, more efficient analysis of simulated systems con figurations, and methods to reduce critical slowing down at i>hase transitions. Taken together with the extensive activity in certain traditional areas of research (simulation of classical and quantum fluids, of macromolecular materials, of spin glasses and quadrupolar glasses, etc.

Computational Physics

Author: Michael Bestehorn
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110373041
Size: 57.42 MB
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Auf Basis von Beispielen aus den verschiedensten Gebieten der Physik führt dieses Lehrbuch in die Computerphysik mit Fortran und Matlab ein. Ausgehend von grundlegenden Problemstellungen aus der klassischen Mechanik werden (chaotische) dynamische Systeme untersucht. Feldtheorien wie Quantenmechanik, irreversible Thermodynamik und Hydrodynamik bis hin zur selbstorganisierten makroskopischen Strukturbildung bilden den zweiten Schwerpunkt des Buches. Ein Kapitel über Monte-Carlo-Methoden und deren Anwendung in der statistischen Physik schließt die bunte Palette physikalischer Themen ab. Inhalt: Einführung Abbildungen Dynamische Systeme Gewöhnliche Differentialgleichungen I Gewöhnliche Differentialgleichungen II Partielle Differentialgleichungen I, Grundlagen Partielle Differentialgleichungen II, Anwendungen Monte Carlo-Verfahren (MC) Matrizen und lineare Gleichungssysteme Programm-Library Lösungen der Aufgaben README und Kurzanleitung FE-Programme Stichwortverzeichnis

Vorticity Statistical Mechanics And Monte Carlo Simulation

Author: Chjan Lim
Publisher: Springer Science & Business Media
ISBN: 0387494316
Size: 75.90 MB
Format: PDF
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This book is drawn from across many active fields of mathematics and physics. It has connections to atmospheric dynamics, spherical codes, graph theory, constrained optimization problems, Markov Chains, and Monte Carlo methods. It addresses how to access interesting, original, and publishable research in statistical modeling of large-scale flows and several related fields. The authors explicitly reach around the major branches of mathematics and physics, showing how the use of a few straightforward approaches can create a cornucopia of intriguing questions and the tools to answer them.