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

Class LogNormDistFunction

java.lang.Object

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

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

All Implemented Interfaces:

IFunction

public class LogNormDistFunction
extends AbstractProbDistFunction

Lognormal distribution with parameters scale parameter mu and shape parameter sigma > 0.

Field Summary

Fields inherited from class de.uka.ipd.sdq.simucomframework.variables.functions.AbstractProbDistFunction

factory, randomGen

Constructor Summary

Constructors

Constructor	Description
LogNormDistFunction(de.uka.ipd.sdq.probfunction.math.IRandomGenerator randomGen, de.uka.ipd.sdq.probfunction.math.IPDFFactory factory)

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Details

LogNormDistFunction

public LogNormDistFunction(de.uka.ipd.sdq.probfunction.math.IRandomGenerator randomGen,
 de.uka.ipd.sdq.probfunction.math.IPDFFactory factory)

Method Details

checkParameters

public boolean checkParameters(List<Object> parameters)

Checks the validity of the parameter. Lognorm takes two parameters mu (scale parameter) and sigma (shape parameter) sigma needs to be larger than 0. mu parameter can be any double

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