Class GammaDistFunctionFromMoments
- java.lang.Object
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- de.uka.ipd.sdq.simucomframework.variables.functions.AbstractProbDistFunction
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- de.uka.ipd.sdq.simucomframework.variables.functions.GammaDistFunctionFromMoments
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- All Implemented Interfaces:
IFunction
public class GammaDistFunctionFromMoments extends AbstractProbDistFunction
Gamma distribution with shape alpha > 0 and inverse scale parameter beta > 0 There is another way to write the gamma function with k = alpha and theta = 1/beta,
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Field Summary
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Fields inherited from class de.uka.ipd.sdq.simucomframework.variables.functions.AbstractProbDistFunction
factory, randomGen
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Constructor Summary
Constructors Constructor Description GammaDistFunctionFromMoments(de.uka.ipd.sdq.probfunction.math.IRandomGenerator randomGen, de.uka.ipd.sdq.probfunction.math.IPDFFactory factory)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description boolean
checkParameters(List<Object> parameters)
Checks the validity of the parameter.Object
evaluate(List<Object> parameters)
Evaluate the functions result using the parameters given
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Method Detail
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checkParameters
public boolean checkParameters(List<Object> parameters)
Checks the validity of the parameter. GammaDistFunctionFromMoments takes two parameters mean and c coefficient of variance mean needs to be larger than 0. c needs to be larger than 0.- Parameters:
parameters
- A set of parameters to be processed- Returns:
- true if the parameters fit to the functions preconditions, false otherwise
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