plNormal Class Reference

This class implements Normal distributions on one or multiple dimensional space. More...

#include <plNormal.h>

Inheritance diagram for plNormal:

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[legend]List of all members.

Public Member Functions
	plNormal (const plVariablesConjunction &V, const plFloatVector &m, const plFloatMatrix &Sigma)
	Default constructor for multi-dimensional Normal (Gaussian) distribution on variable V with the {dim} dimentional vector {m} as mean vecotor and the {dim x dim} dimensional matrix {Sigma} as variance/covariance matrix.
	plNormal (const plVariablesConjunction &V, plFloat m, plFloat sd)
	Default constructor for one-dimensional Normal (Gaussian) distribution on variable V with mean m (also known as mu) and standard deviation sd (also known as sigma).
virtual	~plNormal ()
	Destroys the kernel.

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Detailed Description

This class implements Normal distributions on one or multiple dimensional space.

Definition at line 34 of file plNormal.h.

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Constructor & Destructor Documentation

plNormal::plNormal (  const plVariablesConjunction &  V, const plFloatVector &  m, const plFloatMatrix &  Sigma )

Default constructor for multi-dimensional Normal (Gaussian) distribution on variable V with the {dim} dimentional vector {m} as mean vecotor and the {dim x dim} dimensional matrix {Sigma} as variance/covariance matrix. {Sigma} must be a symetric positive matrix: Determinant(Sigma) > 0 for i=0...dim-1, j=0...dim-1, Sigma[i][j] = Sigma[j][i] The probability density function is: p(V)= exp (-0.5*(V-m)*Inverse(Sigma)*Traspose(V-m)) / (Det(Sigma)^(1/2) * (2*pi)^(dim/2))

plNormal::plNormal (  const plVariablesConjunction &  V, plFloat  m, plFloat  sd )

Default constructor for one-dimensional Normal (Gaussian) distribution on variable V with mean m (also known as mu) and standard deviation sd (also known as sigma). {sd} must be > 0. The probability density function is: p(V)= exp (-(V-m)^2 / (2*sd^2)) / (sd * (2*pi)^(1/2))

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The documentation for this class was generated from the following file:

• plNormal.h

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