Class LogNormDistFunctionFromMoments

  • All Implemented Interfaces:
    IFunction

    public class LogNormDistFunctionFromMoments
    extends AbstractProbDistFunction
    Lognormal distribution from the distributions moments: Parameters mean and standard deviation.
    • 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