Modeling and simulation /
Modeling and Simulation is designed for students of engineering and computer application courses as well as for operations research specialist, system analyst. Modeling and Simulation provides basic knowledge in the use of simulation techniques in a simple and approachable way. Introduction to discr...
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| Format: | Book |
| Language: | English |
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Oxford, UK :
Alpha Science International Ltd.,
[2014]
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| Edition: | Second edition. |
| Subjects: |
Table of Contents:
- System models. System, components and model ; System environment ; Types of activities ; Continuous and discrete system ; System modeling ; Types of model
- System simulation. Introduction ; The power of simulation ; Technique of simulation ; Why to simulate ; When to use simulation ; Advantage of simulation ; Basic nature of simulation ; Comparison of analytical and simulation method ; Real time simulation ; Hybrid simulation ; Monte Carlo simulation ; Simulation of pure pursuit problem ; Simulation study
- Random variables and probability distributions. Introduction ; Basic definitions ; Probability ; Important theorems on probability ; General notations ; Conditional probability ; Bay's theorem ; Random function (Variable) ; Theorem results for random variables
- Special probability distribution. Introduction ; Important definition ; Binomial distribution ; Poisson distribution ; Normal distribution ; Characteristics of the normal distribution and graph of normal distribution ; Relation between Poisson, binomical and normal distribution ; Importance of normal distribution ; Error function ; Area under the normal curve ; Working procedure ; Negative binomial distribution ; Geometric distribution ; Hyper-geometric distribution ; Multinomial distribution ; Uniform (or rectangular) distribution ; Gamma distribution ; Beta distribution of the first kind ; Beta distribution of the second kind
- Simulation of continuous systems. Introduction ; Mathematical modeling tool ; Analog versus digital simulation ; Simulation of a water reservoir ; Simulation of a servo system ; Simulation of an autopilot
- Simulation of discrete systems. Discrete system ; Simulation of discrete system ; Discrete event simulators ; Component of discrete event simulation ; How discrete event simulation works ; Overview of discrete system ; Fixed time step versus event to event model ; Distributed lag models ; Cobweb model ; Random number generator
- Time series. Introduction ; Components of time series ; Use of time series analysis ; Measurement over time or measurement of trend ; Method of moving averages ; Method of least squares
- Statistical inference
- test of hypothesis. Introduction ; Estimation theory ; Test of hypothesis ; Procedure for testing of hypothesis ; Types of errors and power of a test ; One-tailes and two-tailed tests of hypothesis ; Large and small sample ; "T" distribution ; Limitations of T-test ; Z-test (large sample)
- X²-test. Introduction ; X²-test (Chi-square test) ; The X²-distribution ; Important points ofr X²-distribution ; Applications of X²-test ; Calculation of X² and Yate's corrections
- Stochastic processes
- simulation of queuing models. Introduction ; Queuing theory ; Arrival time distribution ; Transient state and steady state ; Assumption and performance measures for queuing system ; Classification of queuing models ; Simulation of single server queuing model ; Simulation of multiple server queuing model ; Simulation of a telephone system
- Simulation of inventory system. Introduction ; Elements of inventory system ; Classification of inventory ; Cost related to inventory ; Notations for inventory system ; Size of demand and EOQ ; Different inventory models ; Simulation model of inventory system
- Simulation of PERT and CPM Network. Introduction ; History of PERT and CPM ; Components of PERT-CPM network ; Network construction using CPM and PERT ; Steps of network construction ; Drawing the CPM/PERT network ; Gantt chart ; Limitations of PERT and CPM ; Comparison of CPM and PERT ; Simulation of PERT and CPM Network
- System dynamics. Introduction ; System dynamics diagram and notations ; Feedback diagram ; Stock and flow diagram ; Exponential growth models ; Exponential decay model ; Logarithmic model ; A one-sector inventory model
- Simulation language. Introduction ; Features of structured simulation languages ; Continuous simulation languages ; Different type of continuous simulation languages ; Discrete simulation language ; Different type of discrete simulation languages
- Design and verification of simulation experiments. Introduction ; Validation and verification of simulation model ; Verification techniques ; Statictesting versus dynamic testing ; Validation techniques ; Model based testing
- Real world applications of simulation. Introduction ; Job shop model ; Deadlock model ; Just in time model ; Computer centre model ; Computer network model ; Reliability estimation.