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

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