de.uka.ipd.sdq.probfunction.math
Interface 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, wich contains the x and y coordinates of the upper right coner 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).

Author:

ihssane, jens

Method Summary

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.