net.simplace.client.simulation.lap.generators.RandomSimGenerator

Generate simulations with parameters created randomly from specified distributions.

Distributions

For each model variable the user can chose one of the distribution below:

Distribution Distribution Parameters Optional Param. Return datatype Remark
Uniform min, max DOUBLE
Normal mean, sigma min, max DOUBLE
Exponential lambda min, max DOUBLE
Poisson lambda min, max INT
Binomial n, p min, max INT n has to be of type INT

If min and max are specified and the generated value exceeds them, new random numbers are generated until one fits the interval. The number of trials is limited. If no number is found, the parameter set is skipped.

Generated parameter sets can be further restricted by constraints.

Variable specific configuration

Arbitrary number of calibration variables (either INT or DOUBLE, depending on distribution used)

|  <cal id="VariableName" target="vModuleName">

For each calibration variable the distribution and it's parametrization as in the table above.

|  <cal id="VariableName" target="vModelParameter">
|    <input id="distribution" datatype="CHAR">DISTRIBUTION</input>
|    <input id="PARAMETER1" datatype="DOUBLE">3.0</input>
|    <input id="PARAMETER2" datatype="DOUBLE">.5</input>
|  </cal>

General configuration

Name DATATYPE Description
cCount INT the number of parameter sets to be generated, mandatory
cRandomSeed CHAR optional random seed for the generator. Can be a long integer, therefore it has datatype CHAR

A constraint prohibits the creation of invalid variable values.

|  <constraint rule="${Generator.TsumMaturity} &gt; ${Generator.TsumAnthesis}+100">

Remark

The number of created simulations can be smaller than Count.

The random seed is set only on initialization of the generator. That means, that a subsequent iteration or a subsequent project can not set it's individual random seed.

Example

|  <generator  id="Generator" class="net.simplace.client.simulation.lap.generators.RandomSimGenerator">
|
|    <cal id="TsumAnthesis" datatype="DOUBLE" target="vTsumAnt">
|      <input id="distribution" datatype="CHAR">Uniform</input>
|      <input id="min" datatype="DOUBLE">0</input>
|      <input id="max" datatype="DOUBLE" source="vTsumMax" />
|    </cal>
|
|    <cal id="TsumMat" datatype="DOUBLE" target="vTsumMat">
|      <input id="distribution" datatype="CHAR">Normal</input>
|      <input id="sigma" datatype="DOUBLE" source="Iterator.TsumMat.sigma" />
|      <input id="mean" datatype="DOUBLE" source="Iterator.TsumMat.mean" />
|      <input id="min" datatype="DOUBLE">0</input>
|      <input id="max" datatype="DOUBLE" source="vTsumMax" />
|    </cal>
|
|    <input id="cRandomSeed" datatype="CHAR">342345734</input>
|    <input id="cCount" datatype="INT">100</input>
|
|    <constraint rule="${Generator.TsumMaturity} &gt; ${Generator.TsumAnthesis}+100">
|
|  </generator>


public class RandomSimGenerator extends
net.simplace.simulation.control.generators.DefaultSimulationGenerator {
// Public Constructors
public RandomSimGenerator(Element aGeneratorElement, FWSimSession aSession,
HashMap aFieldMap, FWSimVariable.CONTENT_TYPE aContentType);

// Public Instance Methods
public void init(); // Overrides
net.simplace.simulation.control.generators.DefaultSimulationGenerator

public HashMap createVariables(); // Overrides
net.simplace.simulation.control.generators.DefaultSimulationGenerator

public void generate(FWSimulationControlCache aCache, ResultSet aResultSet)
throws SQLException; // Overrides
net.simplace.simulation.control.generators.DefaultSimulationGenerator


}



Hierarchy: java.lang.Object - net.simplace.simulation.control.FWSimulationControlContainer (net.simplace.simulation.util.FWSimFieldContainer) - net.simplace.simulation.control.FWSimulationGenerator - net.simplace.simulation.control.generators.DefaultSimulationGenerator - RandomSimGenerator