统计物理学中的蒙特卡罗模拟入门
2004-4
世界图书出版公司北京公司
D.P.Landau K.Binder
384
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本书是一部详述了在凝聚态物理学、统计力学及相关领域中遇到的复物理系统蒙特卡罗模拟的各个方面，书中各章有应用实例、例题、思考题和习题，以便于读者深刻理解书中所述内容。本书可作为物理学中的计算模拟研究生教科书。
Preface1 Introduction 1.1 What is a Monte Carlo simulation? 1.2 What porblems can we solve with it? 1.3 What difficulties will we encounter? 1.4 What strategr Should we follow in approaching a problem? 1.5 How do simulations relate to theory and experiment?2 Some necessary background 2.1 Thermodynamics and statistical mechanics:a quick reminder 2.2 Probability theory 2.3 Non-equilirium and dynamics:some introductory comments3 Simple sampling Monte Carol methods 3.1 Introduction 3.2 Comparisons of methods for numerical integration of given functions 3.3 Boundary value problems 3.4 Simulation of radionactive decay 3.5 Simulation of transport properties 3.6 The Percolation Problem 3.7 Finding the guoundstate of a Hamiltonian 3.8 Generation of ‘random’walks 3.9 Final remarks References4 Importance sampling Monte Carlo methods 4.1 Introduction 4.2 The simplest case:single spin-flip sampling for the simple Ising model 4.3 Other discrete variable models 4.4 Spin-exchange sampling 4.5 Microcanonical methods 4.6 General remarks,choice of ensemble 4.7 Statics and dynamics of polymer models on lattices 4.8 Some advice References5 More on importance sampling Carlo methods for lattice systms6 Off-lattice models7 Reweighting methods8 Quantum Monte Carlo methods9 Moten Carlo renormalization group methods10 Non-equilibrium and irreversible processes11 Lattice gauge models:brief introduction12 A brief revieew of other methods of computer simulation13 OutlookAppendix:listing of programs mentioned in the text Index
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好的地方：薄，但还是覆盖了一些历史上较重要的题目(clustermove,mult***non***lsampling,histogramreweighting,renormalization)，影印书中还算比较便宜（相对而言）。不好的地方：这是一个老版本，题目总的来说还是太老了(有一个新版本看上去要更新了很多)，原理分析我觉得不够透彻（Newman的书要好很多，但比较贵），讲的东西也太浅。总的来说，这书看着玩玩可以，不能太当真。
作为教材很合适，懂一些英文的读者比较容易接受。