Page 204 - DCAP601_SIMULATION_AND_MODELING
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Simulation and Modelling



                      Notes         11.4 Summary


                                        When  a  new  project  is  formed,  one  simulation  experiment,  called  Simulation,  is
                                         automatically created. You can create your own experiments and set up any simulation
                                         settings you like.
                                        To design  a stochastic simulation experiment,  it is  caring to have an estimate of  the
                                         simulation run lengths required to achieve desired statistical precision.
                                        In mathematics, more purposely in the theory of Monte Carlo methods, variance reduction
                                         is a procedure used to increase the precision of the estimates that can be obtained for a
                                         given number of iterations.

                                    11.5 Keywords

                                    Fixed Seed (Reproducible Simulation Runs): The seed value of the random number generator is
                                    fixed (specify it in the Seed value field).
                                    Random Seed (Unique Simulation Runs): The seed value of the random number generator is
                                    random.

                                    Relative Accuracy: The desired relative value accuracy for solving equations with methods that
                                    change the integration step.
                                    Time Accuracy: The desired time accuracy for finding change events (switch points) when solving
                                    equations.

                                    11.6 Self Assessment

                                    Fill in the blanks:

                                    1.   Specifying the  fixed seed  value, you  initialize the model ……………….. with the same
                                         value for each model run, thus the model runs are reproducible.
                                    2.   The desired relative value ……………….. for solving equations with methods that change
                                         the integration step.
                                    3.   The greater update rate you specify, the ……………….. presentation will appear.
                                    4.   Simulation experiments are like ……………….. trips.
                                    5.   The ……………….. queue model is relatively complicated, so that an  exact analysis  is
                                         evidently not possible with current methodology.
                                    6.   Common random numbers, antithetic variates, ……………….., importance sampling and
                                         stratified sampling.

                                    7.   Stochastic models require a random seed value for the ……………….. number generator.
                                    8.   In random seed value of the random number generator is ………………..
                                    9.   The default random number generator is an instance of the Java class Random, which is a
                                         ………………..

                                    10.  The  initialization of the default  ……………….. occurs  during the  initialization of  the
                                         experiment and then before each simulation run.
                                    11.  ……………….. is a process of smoothing the drawing of points or lines that would otherwise
                                         appear jagged.
                                    12.  If the ……………….. frame management is turned on, specify here  the ratio between
                                         simulation speed and presentation smoothness.



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