新書推薦:

《
金融强国:新资源暨金融资源学派视角
》
售價:HK$
140.8

《
英国海上霸权的兴衰
》
售價:HK$
107.8

《
版图之枷:军事后勤视野下的明代国家兴亡
》
售價:HK$
97.9

《
肌筋膜连接与修复
》
售價:HK$
75.9

《
礼教中的女性与生活中的女性:汉代女性形态研究
》
售價:HK$
63.8

《
无人机航拍酷炫运镜119招:从构图、拍摄到剪辑
》
售價:HK$
96.8

《
慢思考,快心流:深度开发大脑潜能的思维方式(一本精准的天才训练手册,一套超凡的心流打造功法。精进领航人小务虚脑洞再开,助你开发大脑无限潜能)
》
售價:HK$
63.8

《
《长河落日耀金戈——中国古代北方少数民族征战史例 》(以十场战争解读千年边塞历史,再现“铁马冰河入梦来”的热血豪迈)
》
售價:HK$
41.8
|
內容簡介: |
统计物理学中的蒙特卡洛模拟主要处理凝聚态物理学的多体系统和相关物理学、化学及其他方面的计算模拟,甚至渗透到交通流、股票市场波动等等领域。书中描述了多变量蒙特卡洛模拟方法的理论背景,给出了初学者学习进行模拟和结果分析的系统演示。《统计物理学中的蒙特卡罗模拟(第5版,英文版)》是第五版,不仅包括经典方法,也包括蒙特卡洛模拟方法;增加了一章专门讲述自由能景观采样。
|
目錄:
|
1Introduction:PurposeAndScopeofThisVolume,AndSomeGeneralComments
2TheoreticalFoundationsofTheMonteCarloMethodAndItsApplicationsInStatisticalPhysics
2.1SimpleSamplingVersusImportanceSampling
2.L.1Models
2.1.2SimpleSampling
2.1.3RandomWalksandSelf-AvoidingWalks
2.1.4ThermalAveragesBytheSimpleSamplingMethod
2.1.5AdvantagesandLimitationsofSimpleSampling
2.1.6ImportanceSampling
2.1.7MoreAboutModelsAndAlgorithms
2.2OrganizationofMonteCarloPrograms,andtheDynamicInterpretationofMonteCarloSampling
2.2.1FirstCommentsonTheSimulationofTheIsingModel
2.2.2BoundaryConditions
2.2.3TheDynamicInterpretationofTheImportanceSamplingMonteCarloMethod
2.2.4StatisticalErrorsandTime-DisplacedRelaxationFunctions
2.3Finite-SizeEffects
2.3.1Finite-SizeEffectsAtThePercolationTransition
2.3.2Finite-SizeScalingForThePercolationProblem
2.3.3BrokenSymmetryAndFinite-SizeEffectsAtThermalPhaseTransitions
2.3.4TheOrderParameterProbabilityDistributionAndItsUsetoJustifyFinite-SizeScalingAndPhenomenologicalRenormalization
2.3.5Finite-SizeBehaviorofRelaxationTimes
2.3.6Finite-SizeScalingWithout"Hyperscaling".
2.3.7Finite-SizeScalingForFirst-OrderPhaseTransitions
2.3.8Finite-SizeBehaviorofStatisticalErrorsAndtheProblemOfSelf-Averaging
2.4RemarksonTheScopeofTheTheoryChapter
3GuidetoPracticalWorkWithTheMonteCarloMethod
3.1AimsofTheGuide
3.2SimpleSampling
3.2.1RandomWalk
3.2.2NonreversalRandomWalk
3.2.3Self-AvoidingRandomWalk
3.2.4Percolation
3.3BiasedSampling
3.3.1Self-AvoidingRandomWalk
3.4ImportanceSampling
3.4.1IsingModel
3.4.2Self-AvoidingRandomWalk
4SomeImportantRecentDevelopmentsOfTheMonteCarloMethodology
4.1Introduction
4.2ApplicationoftheSwendsen-WangClusterAlgorithmToTheIsingModel
4.3ReweightingMethodsInTheStudyOfPhaseDiagrams,First-OrderPhaseTransitions,AndInterfacialTensions
4.4SomeCommentsOnAdvancesWithFinite-SizeScalingAnalyses
5QuantumMonteCarloSimulations:AnIntroduction
5.1QuantumStatisticalMechanicsVersusClassicalStatisticalMechanics
5.2ThePathIntegralQuantumMonteCarloMethod
5.3QuantumMonteCarloForLatticeModels
5.4ConcludingRemarks
6MonteCarloMethodsForTheSamplingofFreeEnergyLandscapes.
6.1IntroductionAndOverview
6.2UmbrellaSampling
6.3MulticanonicalSamplingAndOther"ExtendedEnsemble"Methods
6.4Wang-LandauSampling
6.5TransitionPathSampling
6.6ConcludingRemarks
Appendix
A.1AlgorithmForTheRandomWalkProblem
A.2AlgorithmForClusterIdentification
References
Bibliography
SubjectIndex
|
|