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NormalC::NormalC(void) NormalC::NormalC(const MeanCovarianceC &,bool) NormalC::Set(const MeanCovarianceC &,bool) NormalC::Evaluate(const VectorC &) NormalC::Size(void) const NormalC::operator <<(ostream &,const NormalC &) NormalC::operator >>(istream &,NormalC &) NormalC::operator <<(BinOStreamC &,const NormalC &) NormalC::operator >>(BinIStreamC &,NormalC &)

RealT d;

Denominator of distribution.

VectorC mean;

Mean of distribution.

MatrixC invCov;

Inverse covariance.

NormalC()

Default constructor.
Creates a distribution with zero dimensions.

NormalC(const MeanCovarianceC & meanCov,bool fixSingular = false)

Construct from a covariance matrix.

bool Set(const MeanCovarianceC & meanCov,bool fixSingular = false)

Setup the distribution.
Use the mean and covariance to setup the distribution. This may fail if the covariance is singular.

RealT Evaluate(const VectorC & vec)

Get value of normal distribution at 'vec'.

UIntT Size() const

Get the number of dimensions in the distribution.

ostream & operator <<(ostream & s,const NormalC & norm)

istream & operator >>(istream & s,NormalC & norm)

BinOStreamC & operator <<(BinOStreamC & s,const NormalC & norm)

BinIStreamC & operator >>(BinIStreamC & s,NormalC & norm)