離散事件系統(tǒng)仿真：英文版

定　價(jià)：￥65.00

作　者：	（美）Jerry Banks等著
出版社：	機(jī)械工業(yè)出版社
叢編項(xiàng)：	經(jīng)典原版書庫(kù)
標(biāo)　簽：	系統(tǒng)仿真/虛擬現(xiàn)實(shí)

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ISBN：	9787111171942	出版時(shí)間：	2005-09-01	包裝：	膠版紙
開本：	24cm	頁(yè)數(shù)：	608	字?jǐn)?shù)：

內(nèi)容簡(jiǎn)介

　　內(nèi)容簡(jiǎn)介目錄　本書論述了離散事件系統(tǒng)仿真的所有重要方面，全面討論了正確的數(shù)據(jù)收集與分析、解析技術(shù)的使用、模型的驗(yàn)證以及適當(dāng)?shù)姆抡鎸?shí)驗(yàn)設(shè)計(jì)。熟悉微積分、概率論以及初等統(tǒng)計(jì)學(xué)的知識(shí)將有助于閱讀本書。第4版中對(duì)全書內(nèi)容進(jìn)行了廣泛的更新，反映了軟件與方法學(xué)的最新進(jìn)展，并對(duì)某些章節(jié)進(jìn)行了徹底修訂，同時(shí)增加了有關(guān)制造與物料儲(chǔ)運(yùn)系統(tǒng)仿真、計(jì)算機(jī)系統(tǒng)仿真以及通信系統(tǒng)仿真的新章節(jié)。本書可作為高等院校工程系、管理系、計(jì)算機(jī)科學(xué)系等高年級(jí)本科生或低年級(jí)研究生的仿真課程的教材。讀者可以從網(wǎng)站www.bcnn.net中獲取本書的相關(guān)資料。目錄： 1： Introduction 2： Simulation Examples 3： General Principles 4： Simulation Software 5： Statistical Models in Simulation 6： Queueing Models 7： Random-number Generation 8： Random-variate Generation 9： Input Modeling 10： V&V 11： Output Analysis for a Single Model 12： Comparing Multiple Designs 13： Simulation of Mfg. & MH Systems 14： Simulation of Computer Systems 15： Simulation of Communication Systems

作者簡(jiǎn)介

　　JerryBanks佐治亞理工大學(xué)工業(yè)及系統(tǒng)工程學(xué)院退休教授。目前他是一名高級(jí)仿真技術(shù)咨詢專家。他寫了很多著作，是包括工業(yè)工程師協(xié)會(huì)（IIE）在內(nèi)的許多技術(shù)學(xué)會(huì)的全職會(huì)員，并在2002年成為IIE的特別會(huì)員。BrooksAutomation公司AutoMod產(chǎn)品部咨詢技術(shù)經(jīng)理。他是一名獨(dú)立的仿真咨詢專家，并在佐治亞理工大學(xué)、佛羅里達(dá)大學(xué)以及威斯康星大學(xué)麥迪遜分校任教。BarryL.Nelson西北大學(xué)工業(yè)工程及管理科學(xué)系教授、工程管理計(jì)劃的碩士研究生導(dǎo)師，并擔(dān)任TIMS仿真學(xué)會(huì)的主席。他的研究方向?yàn)殡S機(jī)系統(tǒng)模型的計(jì)算機(jī)仿真實(shí)驗(yàn)的設(shè)計(jì)和分析。他已經(jīng)發(fā)表了大量文章，并出版了兩本專著。DavidM.Nicol伊利諾伊大學(xué)厄巴納-尚佩恩分校電氣及計(jì)算機(jī)工程系教授。他在并行及分布式離散事件系統(tǒng)仿真領(lǐng)域有著豐富的經(jīng)驗(yàn)。他目前的研究方向是超大系統(tǒng)特別是通信及其他基礎(chǔ)設(shè)施的建模與仿真。Nicol教授同時(shí)也是IEEE的特別會(huì)員。相關(guān)圖書80X86匯編語(yǔ)言與計(jì)算機(jī)體系結(jié)構(gòu)計(jì)算機(jī)科學(xué)概論（英文版·第2版）分布式系統(tǒng)概念設(shè)計(jì)Java2專家導(dǎo)引（英文版·第3版）復(fù)分析基礎(chǔ)及工程應(yīng)用（英文版.第3版）支持向量機(jī)導(dǎo)論（英文版）Java程序設(shè)計(jì)導(dǎo)論（英文版·第5版）數(shù)據(jù)挖掘：實(shí)用機(jī)器學(xué)習(xí)技術(shù)（英文版·第2版）UML參考手冊(cè)（第2版）數(shù)字通信導(dǎo)論復(fù)雜SoC設(shè)計(jì)（英文版）UML參考手冊(cè)（英文版·第2版）計(jì)算理論導(dǎo)引實(shí)用軟件工程（英文版）計(jì)算機(jī)取證（英文版）EffectiveC#（英文版）UNIX教程（英文版·第2版）軟件測(cè)試（英文版第2版）設(shè)計(jì)模式精解（英文版第2版）實(shí)分析和概率論-經(jīng)典原版書庫(kù)（英文版.第2版）軟件過(guò)程改進(jìn)（英文版）計(jì)算機(jī)體系結(jié)構(gòu)：量化研究方法：第3版調(diào)和分析導(dǎo)論（英文第三版）人工智能：智能系統(tǒng)指南（英文版）第二版電力系統(tǒng)分析（英文版·第2版）面向計(jì)算機(jī)科學(xué)的數(shù)理邏輯：系統(tǒng)建模與推理（英文版·第2版）數(shù)學(xué)規(guī)劃導(dǎo)論英文版抽樣理論與方法（英文版）機(jī)器視覺教程（英文版）（含盤）電子設(shè)計(jì)自動(dòng)化基礎(chǔ)（英文版）Java教程（英文版·第2版）軟件需求管理：用例方法（英文版·第2版）基于FPGA的系統(tǒng)設(shè)計(jì)（英文版）基于用例的面向方面軟件開發(fā)（英文版）Linux內(nèi)核編程必讀-經(jīng)典原版書庫(kù)

圖書目錄

Preface
AbouttheAuthors
IIntroductiontoDiscrete-EventSystemSimulation
Chapter1IntroductiontoSimulation
1.1WhenSimulationIstheAppropriateTool
1.2WhenSimulationIsNotAppropriate
1.3AdvantagesandDisadvantagesofSimulation
1.4AreasofApplication
1.5SystemsandSystemEnvironment
1.6ComponentsofaSystem
1.7DiscreteandContinuousSystems
1.8ModelofaSystem
1.9TypesofModels
1.10Discrete-EventSystemSimulation
1.11StepsinaSimulationStudy
References
Exercises
Chapter2SimulationExamples
2.1SimulationofQueueingSystems
2.2SimulationofInventorySystems
2.3OtherExamplesofSimulation
2.4Summary
References
Exercises
Chapter3GeneralPrinciples
3.1ConceptsinDiscrete-EventSimulation
3.1.1TheEventScheduling/TimeAdvanceAlgol
3.1.2WorldViews
3.1.3ManualSimulationUsingEventSchedulin~
3.2ListProcessing
3.2.1Lists:BasicPropertiesandOperations
3.2.2UsingArraysforListProcessing
3.2.3UsingDynamicAllocationandLinkedList:
3.2.4AdvancedTechniques
3.3Summary
References
Exercises
Chapter4SimulationSoftware
4.1HistoryofSimulationSoftware
4.1.1ThePeriodofSearch(1955-60)
4.1.2TheAdvent(1961-65)
4.1.3TheFormativePeriod(1966-70)
4.1.4TheExpansionPeriod(1971-78)
4.1.5ConsolidationandRegeneration(1979-86)
4.1.6IntegratedEnvironments(1987-Present)
4.2SelectionofSimulationSoftware
4.3AnExampleSimulation
4.4SimulationinJava
4.5SimulationinGPSS
4.6SimulationinSSF
4.7SimulationSoftware
4.7.1Arena
4.7.2AutoMod
4.7.3Extend
4.7.4Flexsim
4.7.5MicroSaint
4.7.6ProModel
4.7.7QUEST
4.7.8SIMUL8
4.7.9WITNESS
&8ExperimentationandStatistical-AnalysisTools
4.8.1CommonFeatures
4.8.2Products
References
Exercises
IIMathematicalandStatisticalModels
Chapter5StatisticalModelsinSimulation
5.1ReviewofTerminologyandConcepts
5.2UsefulStatisticalModels
5.3DiscreteDistributions
5.4ContinuousDistributions
5.5PoissonProcess
5.5.1PropertiesofaPoissonProcess
5.5.2NonstationaryPoissonProcess
5.6EmpiricalDistributions
5.7Summary
References
Exercises
Chapter6QueueingModels
6.1CharacteristicsofQueueingSystems
6.1.1TheCallingPopulation
6.1.2SystemCapacity
6.1.3TheArrivalProcess
6.1.4QueueBehaviorandQueueDiscipline
6.1.5ServiceTimesandtheServiceMechanism
6.2QueueingNotation
6.3Long-RunMeasuresofPerformanceofQueueingSystems
6.3.1Time-AverageNumberinSystemL
6.3.2AverageTimeSpentinSystemPerCustomerw
6.3.3TheConservationEquation:L=λw
6.3.4ServerUtilization
6.3.5CostsinQueueingProblems
6.4Steady-StateBehaviorofInfinite-PopulationMarkovianModels
6.4.1Single-ServerQueueswithPoissonArrivalsandUnlimitedCapacity:M/G/1
6.4.2MultiserverQueue:M/M/c/∞/∞
6.4.3MultiserverQueueswithPoissonArrivalsandLimitedCapacity:M/M/c/N/oo
6.5Steady-StateBehaviorofFinite-PopulationModels(M/M/c/K/K)
NetworksofQueues
Summary
References
Exercises
IIIRandomNumbers
Chapter7Random-NumberGeneration
7.1PropertiesofRandomNumbers
7.2GenerationofPseudo-RandomNumbers
7.3TechniquesforGeneratingRandomNumbers
7.3.1LinearCongmentialMethod
7.3.2CombinedLinearCongruentialGenerators
7.3.3Random-NumberStreams
7.4TestsforRandomNumbers
7.4.1FrequencyTests
7.4.2TestsforAutocorrelation
7.5Summary
References
Exercises
Chapter8Random-VariateGeneration
8.1Inverse-TransformTechnique
8.1.1ExponentialDistribution
8.1.2UniformDistribution
8.1.3WeibullDistribution
8.1.4TriangularDistribution
8.1.5EmpiricalContinuousDistributions
8.1.6ContinuousDistributionswithoutaClosed-FormInverse
8.1.7DiscreteDistributions
8.2Acceptance-RejectionTechnique
8.2.1PoissonDistribution
8.2.2NonstationaryPoissonProcess
8.2.3GammaDistribution
8.3SpecialProperties
8.3.1DirectTransformationfortheNormalandLognormalDistributions
8.3.2ConvolutionMethod
8.3.3MoreSpecialProperties
8.4Summary
References
Exercises
AnalysisofSimulationData
Chapter9InputModeling
9.1DataCollection
9.2IdentifyingtheDistributionwithData
9.2.1Histograms
9.2.2SelectingtheFamilyofDistributions
9.2.3Quantile-QuantilePlots
9.3ParameterEstimation
9.3.1PreliminaryStatistics:SampleMeanandSampleVariance
9.3.2SuggestedEstimators
9.4Goodness-of-FitTests
9.4.1Chi-SquareTest
9.4.2Chi-SquareTestwithEqualProbabilities
9.4.3Kolmogorov-SmimovGoodness-of-FitTest
9.4.4p-Valuesand"BestFits"
9.5FittingaNonstationaryPoissonProcess
9.6SelectingInputModelswithoutData
9.7MultivariateandTime-SeriesInputModels
9.7.1CovarianceandCorrelation
9.7.2MultivariateInputModels
9.7.3Time-SeriesInputModels
9.7.4TheNormal-to-AnythingTransformation
9.8Summary
References
Exercises
Chapter10VerificationandValidationofSimulationModels
10.1Model-Building,Verification,andValidation
10.2VerificationofSimulationModels
10.3CalibrationandValidationofModels
10.3.1FaceValidity
10.3.2ValidationofModelAssumptions
10.3.3ValidatingInput-OutputTransformations
10.3.4Input-OutputValidation:UsingHistoricalInputData
10.3.5Input-OutputValidation:UsingaTuringTest
10.4Summary
References
Exercises
Chapter11OutputAnalysisforaSingleModel
11.1TypesofSimulationswithRespecttoOutputAnalysis
11.2StochasticNatureofOutputData
11.3MeasuresofPerformanceandTheirEstimation
H.3.1PointEstimation
11.3.2Confidence-IntervalEstimation
11.4OutputAnalysisforTerminatingSimulations
11.4.1StatisticalBackground
11.4.2ConfidenceIntervalswithSpecifiedPrecision
11.4.3Quantiles
11.4.4EstimatingProbabilitiesandQuantilesfromSummaryData
11.5OutputAnalysisforSteady-StateSimulations
11.5.1InitializationBiasinSteady-StateSimulations
11.5.2ErrorEstimationforSteady-StateSimulation
l1.5.3ReplicationMethodforSteady-StateSimulations
11.5.4SampleSizeinSteady-StateSimulations
11.5.5BatchMeansforIntervalEstimationinSteady-StateSimulations
11.5.6Quantiles
11.6Summary
References
Exercises
Chapter12ComparisonandEvaluationofAlternativeSystemDesigns
12.1ComparisonofTwoSystemDesigns
12.1.1IndependentSamplingwithEqualVariances
12.1.2IndependentSamplingwithUnequalVariances
12.1.3CommonRandomNumbers(CRN)
12.1.4ConfidenceIntervalswithSpecifiedPrecision
12.2ComparisonofSeveralSystemDesigns
12.2.1BonferroniApproachtoMultipleComparisons
12.2.2BonferroniApproachtoSelectingtheBest
12.2.3BonferroniApproachtoScreening
12.3Metamodeling
12.3.1SimpleLinearRegression
12.3.2TestingforSignificanceofRegression
12.3.3MultipleLinearRegression
12.3.4Random-NumberAssignmentforRegression
12.4OptimizationviaSimulation
12.4.1WhatDoes'OptimizationviaSimulation'Mean?
12.4.2WhyisOptimizationviaSimulationDifficult?
12.4.3UsingRobustHeuristics
12.4.4AnIllustration:RandomSearch
Summary
References
Exercises
VApplications
Chapter13SimulationofManufacturingandMaterial-HandlingSystems
13.1ManufacturingandMaterial-HandlingSimulations
13.1.1ModelsofManufacturingSystems
13.1.2ModelsofMaterial-Handling
13.1.3SomeCommonMaterial-HandlingEquipment
13.2GoalsandPerformanceMeasures
13.3IssuesinManufacturingandMaterial-HandlingSimulations
13.3.1ModelingDowntimesandFailures
13.3.2Trace-DrivenModels
13.4CaseStudiesoftheSimulationofManufacturingandMaterial-HandlingSystems
13.5ManufacturingExample:AJob-ShopSimulation
13.5.1SystemDescriptionandModelAssumptions
13.5.2PresimulationAnalysis
13.5.3SimulationModelandAnalysisoftheDesignedSystem
13.5.4AnalysisofStationUtilization
13.5.5AnalysisofPotentialSystemImprovements
13.5.6ConcludingWords
13.6Summary
References
Exercises
Chapter14SimulationofComputerSystems
14.1Introduction
14.2SimulationTools
14.2.1ProcessOrientation
14.2.2EventOrientation
14.3ModelInput
14.3.1ModulatedPoissonProcess
14.3.2Virtual-MemoryReferencing
14.4High-LevelComputer-SystemSimulation
14.5CPUSimulation
14.6MemorySimulation
14.7Summary
References
Exercises
Chapter15SimulationofComputerNetworks
15.1Introduction
15.2TrafficModeling
15.3MediaAccessControl
15.3.1Token-PassingProtocols
15.3.2Ethernet
15.4DataLinkLayer
15.5TCP
15.6ModelConstruction
15.6.1Construction
15.6.2Example
15.7Summary
References
Exercises
Appendix
Index