IBoxedPDF

All Superinterfaces:

IProbabilityDensityFunction, IProbabilityFunction

All Known Implementing Classes:

BoxedPDFImpl
```
public interface IBoxedPDF
extends IProbabilityDensityFunction
```
A BoxedPDF is an approximation of an actual probability density function. It seperates the function in a set of arbitrary, but non-overlapping intervals (boxes). For each such interval [a,b), the probability of a sample lying in that interval (F(b) - F(a)) is stored in a BoxedPDF.
A BoxedPDF consists of an ordered set of ContinuousSamples, which contains the x and y coordinates of the upper right corner of a box. The lower left corner is given by the x coordinate of its left neighbour and the y coordinate is set to zero. This allows us to easily construct a sequence of boxes. The lower left corner of the leftmost box is always (0,0).

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`List<IContinuousSample>`	`getSamples()`	Ordered list of ContinuousSamples, which define the sequence of boxes.

Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IProbabilityDensityFunction
add, div, drawSample, getCumulativeFunction, getFourierTransform, getInverseFourierTransform, getLowerDomainBorder, greaterThan, lessThan, mult, probabilisticEquals, scale, shiftDomain, stretchDomain, sub

Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IProbabilityFunction
checkConstrains, getArithmeticMeanValue, getMedian, getPercentile, getProbabilitySum, getUnit, hasOrderedDomain, isInFrequencyDomain, isInTimeDomain

- Method Detail
  - getSamples
```
List<IContinuousSample> getSamples()
```
    Ordered list of ContinuousSamples, which define the sequence of boxes.
    
    Returns:
    
    ContinuousSamples approximating the probability density function.