| Verification and Validation of Simulation Models |
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| concerned with building the model right. It is utilized in the comparison of the conceptual model to the computer representation that implements that conception. |
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| Types of Simulation |
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| Behavioral simulation,Functional simulation,Static timing analysis,Gate-level simulation
Switch-level simulation,Transistor-level or circuit-level simulation
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| Steps in a Simulation Study |
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| Setting objectives is the most important step in conducting a simulation study. Clearly defined objectives help us obtain the best information at the lowest cost and in the least amount of time. |
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| Simulation |
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| System to be characterized may not be available,During design or procurement stage
Still want to predict performance, may have system but want to evaluate wide-range of workloads
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| Random Numbers |
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| This chapter describes algorithms for the generation of pseudorandom numbers with
both uniform and normal distributions. |
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| Queueing Models |
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| Queueing models have been proved to be very useful in many practical applications in areas
such as, e.g., production systems, inventory systems and communication systems. |
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| Poisson process |
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| Poisson process is one of the most important models used in queueing theory. |
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| Output Analysis for a Single Model |
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| Estimate system performance via simulation,Purpose of statistical analysis, Potential issues to overcome |
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| Mathematical Models STUDENT ACTIVITY |
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| Models in science come in different forms. A physical model that you probably are familiar with is an anatomically detailed model of the human body. |
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| Markov Models |
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| Solving for Total Reward,L(i) is expected total reward received starting in state i.
How could we compute L(A)?,Would it help to compute L(B), L(T), L(S), and L(D) also?
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| Inverse transform method |
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| Inverse transform method,Convolution method, Composition method
Acceptance-rejection method |
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| Introducation To Simulation by Dr K.P.Mohandas |
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| Introducation To Simulation essentially means to mimic or to try to duplicate a real world process or system over times |
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| INTRODUCTION TO SIMULATION |
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| Simulation is a powerful tool if understood and used properly.This introduction to simulation tutorial is designed to teach the basics of simulation, including structure, function,data generated, and its proper use. |
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| discrete distributions |
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| Bernoulli random variables.B. Binomial distribution.C. Poisson distribution.D. Geometric distribution.
E. Negative binomial distribution.F. Hypergeometric distribution |
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| Discrete Event Simulation |
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| We shall describe key concepts regarding system, model and modeling.We study the key class of discrete event simulation (DES)
models.We provide a description of simulators and simulation languages.We make an introduction to Enterprise Dynamics. |
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