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Monte Carlo Simulation in Statistical Physics, Binder Kurt


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Цена: 10480.00р.
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Автор: Binder Kurt
Название:  Monte Carlo Simulation in Statistical Physics
ISBN: 9783030107574
Издательство: Springer
Классификация:







ISBN-10: 3030107574
Обложка/Формат: Hardcover
Страницы: 258
Вес: 0.57 кг.
Дата издания: 10.05.2019
Серия: Graduate texts in physics
Язык: English
Издание: 6th ed. 2019
Иллюстрации: 5 illustrations, color; 150 illustrations, black and white; xvii, 258 p. 155 illus., 5 illus. in color.
Размер: 162 x 241 x 21
Читательская аудитория: Professional & vocational
Подзаголовок: An introduction
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field.This edition has been updated with two new chapters dealing with recently developed powerful special algorithms and with finite size scaling tools for the study of interfacial phenomena, which are important for nanoscience. Previous editions have been highly praised and widely used by both students and advanced researchers.
Дополнительное описание: Introduction: Purpose and Scope of this Volume, and Some General Comments.- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- Guide to Practical Work with the Monte Carlo Method.- Some Important Developments o



The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Vorticity, Statistical Mechanics, and Monte Carlo Simulation

Автор: Chjan Lim; Joseph Nebus
Название: Vorticity, Statistical Mechanics, and Monte Carlo Simulation
ISBN: 1441922474 ISBN-13(EAN): 9781441922472
Издательство: Springer
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Цена: 20263.00 р.
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Описание: This book is drawn from across many active fields of mathematics and physics. With fresh insights into an important field, the book addresses how to access interesting, original, and publishable research in statistical modeling of large-scale flows and related fields.

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 15046.00 р.
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Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Sturge`S Statistical And Thermal Ph

Автор: Olafsen
Название: Sturge`S Statistical And Thermal Ph
ISBN: 1482256002 ISBN-13(EAN): 9781482256000
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: This fully revised and updated edition provides a uniquely accessible introduction to the principles and applications of statistical mechanics and thermodynamics. Based on the highly acclaimed text by famous physicist M.D. Sturge, it continues its emphasis on explaining concepts with simple mathematics and plain English.

Applications of the Monte Carlo Method in Statistical Physics

Автор: A. Baumg?rtner; K. Binder; K. Binder; J.-P. Hansen
Название: Applications of the Monte Carlo Method in Statistical Physics
ISBN: 3642967906 ISBN-13(EAN): 9783642967900
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Monte Carlo computer simulations are now a standard tool in scientific fields such as condensed-matter physics, including surface-physics and applied-physics problems (metallurgy, diffusion, and segregation, etc.

Monte Carlo Methods in Statistical Physics

Автор: Kurt Binder; K. Binder; D.M. Ceperley; J.-P. Hanse
Название: Monte Carlo Methods in Statistical Physics
ISBN: 3540165142 ISBN-13(EAN): 9783540165149
Издательство: Springer
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Цена: 11173.00 р.
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Описание: 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

Автор: Kurt Binder; A. Baumg?rtner; K. Binder; J.-P. Hans
Название: Applications of the Monte Carlo Method in Statistical Physics
ISBN: 3540176500 ISBN-13(EAN): 9783540176503
Издательство: Springer
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Цена: 12157.00 р.
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Описание: 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

Автор: David Landau , Kurt Binder
Название: A Guide to Monte Carlo Simulations in Statistical Physics
ISBN: 110849014X ISBN-13(EAN): 9781108490146
Издательство: Cambridge Academ
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Цена: 12038.00 р.
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Описание: This introduction to computer simulation methods in physics emphasises Monte Carlo Methods, where random numbers are used to study complex systems. It is ideal for graduate students and researchers wishing to learn about simulation, which has become a third pillar of scientific methods, complementing theory and experiment.

A Modern Course in Statistical Physics

Автор: Reichl Linda E.
Название: A Modern Course in Statistical Physics
ISBN: 3527413499 ISBN-13(EAN): 9783527413492
Издательство: Wiley
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Цена: 14256.00 р.
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Описание: Presents essential concepts from equilibrium and non-equlibrium statistical physics at a level accessible to advanced undergraduate and graduate students. This edition includes latest methods of quantum statistical mechanics and modern aspects of turbulent hydrodynamic flow.

Statistical mechanics of liquids and solutions :

Автор: Kjellander, Roland,
Название: Statistical mechanics of liquids and solutions :
ISBN: 1482244012 ISBN-13(EAN): 9781482244014
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: This book shows how you can start from basic laws for the interactions and motions of microscopic particles and calculate how macroscopic systems of these particles behave, thereby explaining properties of matter at the scale that we perceive.


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