de.uka.ipd.sdq.simucomframework.variables.functions

Class LogNormDistFunctionFromMoments

java.lang.Object

de.uka.ipd.sdq.simucomframework.variables.functions.AbstractProbDistFunction

de.uka.ipd.sdq.simucomframework.variables.functions.LogNormDistFunctionFromMoments

All Implemented Interfaces:

IFunction

public class LogNormDistFunctionFromMoments
extends AbstractProbDistFunction

Lognormal distribution from the distributions moments: Parameters mean and standard deviation.

Author:

Anne

Constructor Summary

Constructors

Constructor and Description
LogNormDistFunctionFromMoments(de.uka.ipd.sdq.probfunction.math.IRandomGenerator random, de.uka.ipd.sdq.probfunction.math.IPDFFactory factory)

Method Summary

Modifier and Type	Method and 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

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LogNormDistFunctionFromMoments

public LogNormDistFunctionFromMoments(de.uka.ipd.sdq.probfunction.math.IRandomGenerator random,
                                      de.uka.ipd.sdq.probfunction.math.IPDFFactory factory)

Method Detail

checkParameters

public boolean checkParameters(List<Object> parameters)

Checks the validity of the parameter. LognormFromMoments takes two parameters mean and standard deviation mean needs to be larger than 0. stdev 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

evaluate

public Object evaluate(List<Object> parameters)

Description copied from interface: IFunction

Evaluate the functions result using the parameters given

Parameters:

parameters - Parameters for the function

Returns:

Value of the function