Page 195 - DCAP601_SIMULATION_AND_MODELING

Unit 11: Design and Evaluation of Simulation Experiments (I)

2. Java machine arguments: [Application option, not applied when model runs as applet] Specify Notes
here Java machine arguments you want to apply on launching your model.
3. Command-line arguments: [Application option, not applied when model runs as applet] Here
you can specify command line arguments you want to pass to your model. You can get the
values of passed argument values in the experiment’s Additional class code using the
method String[] getCommandLineArguments()
4. Load root object from snapshot: If selected, the experiment will load the model state from
the snapshot file specified in the control to the right. The experiment will be started from
the time when the model state was saved.
5. Imports section: Import statements needed for correct compilation of the experiment
class’ code. When Java code is generated, these statements are inserted before definition of
the Java class.
6. Additional class code: Arbitrary member variables, nested classes, constants and methods
are defined here. This code will be inserted into the experiment class definition. You can
access these class data members anywhere within this experiment.
7. Initial experiment setup: Experiment initialization code. It is executed when the experiment
is created (and its UI is created).
8. Before each experiment run: The code executed before each simulation run. This code is
run on setup of the model. At this moment the root object of the model is already created,
but the model is not started yet. You may perform here some actions with elements of the
root active object,

Example: assign actual parameter values here.
9. Before simulation run: The code executed before simulation run. This code is executed
when simulation engine finishes the model execution (Engine.finished() method is called).
This code is not executed when you stop your model by clicking the Terminate execution
button.
10. After simulation run: The code executed after simulation run.
11. Random selection mode for simultaneous events: If selected, in case several events are
available at the same time, AnyLogic can make nondeterministic choice with equal
probability for each event. Otherwise, events will be selected in the defined order.
12. Differential equations: Method used to solve ordinary differential equations.
13. Algebraic equations: Method used to solve algebraic equations.
14. Mixed equations: Method used to solve algebraic-differential equations.

15. Absolute accuracy: The desired absolute value accuracy for solving equations. Absolute
accuracy is used when it is impossible to use relative accuracy – e.g., when the value is
close to zero.
16. Time accuracy: The desired time accuracy for finding change events (switch points) when
solving equations.

17. Relative accuracy: The desired relative value accuracy for solving equations with methods
that change the integration step (e.g. Newton). Used by default.
18. Fixed time step: Fixed time step for methods using the fixed integration step (e.g. RK4).

19. Persistent Top-level Presentation Group: If selected, the presentation of the experiment is
accessible from the code as presentation.

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