net.simplace.client.simulation.lap.generators.LHSSimGenerator
Generate simulations with parameters created using random Latin hypercube
sampling
{{{ <generator id="LHSSG"
class="net.simplace.client.simulation.lap.generators.LHSSimGenerator"> <cal
id="par_a" datatype="DOUBLE" min="0.3" max="1" target="par_a"/> <cal
id="par_b" datatype="DOUBLE" min="0.012" max="0.024" target="par_b"/> <cal
id="par_c" datatype="DOUBLE" min="0.1" max="1" target="par_c"/> <input
id="samples" datatype="INT">1600</input> </generator> }}} == References ==
LHS and permutation functions by Le Minh Nghia, NTU-Singapore
(Google code link)
public class LHSSimGenerator extends
net.simplace.simulation.control.generators.DefaultSimulationGenerator {
// Public Constructors
public LHSSimGenerator(Element aGeneratorElement, FWSimSession aSession,
HashMap aFieldMap, FWSimVariable.CONTENT_TYPE aContentType);
// Public Instance Methods public HashMap createVariables(); // Overrides
net.simplace.simulation.control.generators.DefaultSimulationGenerator
public int[][]
getSimpleLH(int N, int dim);
Generate matrix (nSamples x nDim) so that each column is a permutation of
1->N
- N
Number of samples
- dim
Number of dimensions
public void generate(FWSimulationControlCache aCache, ResultSet aResultSet);
// 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 - LHSSimGenerator
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