Vorticity, Statistical Mechanics, and Monte Carlo Simulation

Chjan Lim, Joseph Nebus - Collection Springer Monographs in Mathematics

300 pages, parution le 15/10/2006

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Résumé

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.

Written for: Researchers, graduate students

Sommaire

Introduction
Probability
Statistical Mechanics
The Monte Carlo Approach
Spectral Methods
Discrete Models in Fluids
Spin-Lattice Models
Monte Carlo Simulations
Polyhedra and Ground States
Mesh Generation
Statistical Mechanics for a Vortex Gas
Two-layer Quasi-geostrophic Models
Barotropic Vorticity Dynamics
Mean Field Theory

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Chjan Lim, Joseph Nebus
Collection	Springer Monographs in Mathematics
Parution	15/10/2006
Nb. de pages	300
Format	16 x 24
Couverture	Relié
Poids	540g
Intérieur	Noir et Blanc
EAN13	9780387350752
ISBN13	978-0-387-35075-2