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.

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

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

Methods inherited from class java.lang.Object
clone, equals, finalize, 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