lti::multivariateGaussian::parameters Class Reference

the parameters for the class multivariateGaussian More...

#include <ltiMultivariateGaussian.h>

Inheritance diagram for lti::multivariateGaussian::parameters:

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Collaboration diagram for lti::multivariateGaussian::parameters:

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List of all members.

Public Member Functions
	parameters ()
	parameters (const parameters &other)
	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual functor::parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
dvector	centre
dmatrix	covarianceMatrix

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Detailed Description

the parameters for the class multivariateGaussian

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Constructor & Destructor Documentation

lti::multivariateGaussian::parameters::parameters

(

)

default constructor

Reimplemented from lti::functor::parameters.

lti::multivariateGaussian::parameters::parameters

(

const parameters &

other

)

copy constructor

Parameters:

other

the parameters object to be copied

lti::multivariateGaussian::parameters::~parameters

(

)

[virtual]

destructor

Reimplemented from lti::functor::parameters.

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Member Function Documentation

virtual functor::parameters* lti::multivariateGaussian::parameters::clone

(

)

const [virtual]

returns a pointer to a clone of the parameters

Implements lti::functor::parameters.

parameters& lti::multivariateGaussian::parameters::copy

(

const parameters &

other

)

copy the contents of a parameters object

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

Reimplemented from lti::continuousRandomDistribution::parameters.

const char* lti::multivariateGaussian::parameters::getTypeName

(

)

const [virtual]

returns name of this type

Reimplemented from lti::functor::parameters.

parameters& lti::multivariateGaussian::parameters::operator=

(

const parameters &

other

)

copy the contents of a parameters object

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

virtual bool lti::multivariateGaussian::parameters::read	(	ioHandler &	handler,
		const bool	complete = true
	)			[virtual]

read the parameters from the given ioHandler

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::functor::parameters.

virtual bool lti::multivariateGaussian::parameters::write	(	ioHandler &	handler,
		const bool	complete = true
	)			const [virtual]

write the parameters in the given ioHandler

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::functor::parameters.

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Member Data Documentation

dvector lti::multivariateGaussian::parameters::centre

the centre point of the distribution

dmatrix lti::multivariateGaussian::parameters::covarianceMatrix

the covariance for the distribution

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

• ltiMultivariateGaussian.h