Mahalanobis distance functions

Functions
virtual double	MVnorm::mhl (const MVnorm *x, const SigmaI &SigI)
	Mahalanobis distance to a vector. More...
virtual double	MVnorm::mhl (const MVnorm *x, const SigmaI &SigI) const
	Mahalanobis distance to a vector. More...
virtual double	MVnorm::mhl (const gsl_vector *x, const SigmaI &SigI)
	Mahalanobis distance to a vector. More...
virtual double	MVnorm::mhl (const gsl_vector *x, const SigmaI &SigI) const
	Mahalanobis distance to a vector. More...
virtual double	MVnorm::mhl (const SigmaI &SigI)
	Mahalanobis distance to zero. More...
virtual double	MVnorm::mhl (const SigmaI &SigI) const
	Mahalanobis distance to zero. More...

Detailed Description

Overloaded functions to calculate the Mahalanobis distance of the vector of location parameters stored in the class to another vector or to zero.

Function Documentation

mhl() [1/6]

double MVnorm::mhl ( const gsl_vector *  x, const SigmaI &  SigI  )

virtual

Mahalanobis distance to a vector.

Calculates the Mahalanobis distance between the vector stored in the class and the provided GSL vector.

Parameters

[in]	MVnorm&	vector to calculate the distance from
[in]	SigmaI&	inverse covariance matrix for scaling

Returns

the distance value of type double.

mhl() [2/6]

double MVnorm::mhl ( const gsl_vector *  x, const SigmaI &  SigI  ) const

virtual

Mahalanobis distance to a vector.

Calculates the Mahalanobis distance between the vector stored in the class and the provided GSL vector. The const version of the above function.

Parameters

[in]	MVnorm&	vector to calculate the distance from
[in]	SigmaI&	inverse covariance matrix for scaling

Returns

the distance value of type double.

mhl() [3/6]

double MVnorm::mhl ( const MVnorm *  x, const SigmaI &  SigI  )

virtual

Mahalanobis distance to a vector.

Calculates the Mahalanobis distance between the vector stored in the class and the provided vector of class MVnorm.

Parameters

[in]	MVnorm&	vector to calculate the distance from
[in]	SigmaI&	inverse covariance matrix for scaling

Returns

the distance value of type double.

mhl() [4/6]

double MVnorm::mhl ( const MVnorm *  x, const SigmaI &  SigI  ) const

virtual

Mahalanobis distance to a vector.

Calculates the Mahalanobis distance between the vector stored in the class and the provided vector of class MVnorm. The const version of the above function.

Parameters

[in]	MVnorm&	vector to calculate the distance from
[in]	SigmaI&	inverse covariance matrix for scaling

Returns

the distance value of type double.

mhl() [5/6]

double MVnorm::mhl ( const SigmaI &  SigI )

virtual

Mahalanobis distance to zero.

Calculates the Mahalanobis distance between the vector stored in the class zero.

Parameters

[in]

SigmaI&

inverse covariance matrix for scaling

Returns

the distance value of type double.

mhl() [6/6]

double MVnorm::mhl ( const SigmaI &  SigI ) const

virtual

Mahalanobis distance to zero.

Calculates the Mahalanobis distance between the vector stored in the class zero. The const version of the above function.

Parameters

[in]

SigmaI&

inverse covariance matrix for scaling

Returns

the distance value of type double.