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

public class LogNormDistFunctionFromMoments extends AbstractProbDistFunction

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

Field Summary

Fields inherited from class de.uka.ipd.sdq.simucomframework.variables.functions.AbstractProbDistFunction
factory, randomGen
Constructor Summary

Constructors

Constructor

Description

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

Class LogNormDistFunctionFromMoments

Field Summary