GaussianVector< Size > Class Template Reference

Detailed Description

template<int Size>
class drake::schema::GaussianVector< Size >

A gaussian distribution with vector mean and vector or scalar stddev.

When mean and stddev both have the same number of elements, that denotes an elementwise pairing of the 0th mean with 0th stddev, 1st mean with 1st stddev, etc.

Alternatively, stddev can be a vector with a single element, no matter the size of mean; that denotes the same stddev value applied to every element of mean.

Template Parameters

Size	rows at compile time (max 6) or else Eigen::Dynamic.

#include <drake/common/schema/stochastic.h>

Public Member Functions
	GaussianVector ()
	GaussianVector (const drake::Vector< double, Size > &mean, const drake::VectorX< double > &stddev)
	~GaussianVector () final
Eigen::VectorXd	Sample (drake::RandomGenerator *) const final
Eigen::VectorXd	Mean () const final
drake::VectorX< drake::symbolic::Expression >	ToSymbolic () const final
template<typename Archive >
void	Serialize (Archive *a)
Implements CopyConstructible, CopyAssignable, MoveConstructible, MoveAssignable
	GaussianVector (const GaussianVector &)=default
GaussianVector &	operator= (const GaussianVector &)=default
	GaussianVector (GaussianVector &&)=default
GaussianVector &	operator= (GaussianVector &&)=default
Public Member Functions inherited from DistributionVector
virtual	~DistributionVector ()

Public Attributes
drake::Vector< double, Size >	mean
drake::VectorX< double >	stddev

Additional Inherited Members
Protected Member Functions inherited from DistributionVector
	DistributionVector ()
	DistributionVector (const DistributionVector &)=default
DistributionVector &	operator= (const DistributionVector &)=default
	DistributionVector (DistributionVector &&)=default
DistributionVector &	operator= (DistributionVector &&)=default

Constructor & Destructor Documentation

GaussianVector() [1/4]

GaussianVector ( const GaussianVector< Size > &  )

default

GaussianVector() [2/4]

GaussianVector ( GaussianVector< Size > &&  )

default

GaussianVector() [3/4]

GaussianVector

(

)

GaussianVector() [4/4]

GaussianVector	(	const drake::Vector< double, Size > &	mean,
		const drake::VectorX< double > &	stddev
	)

~GaussianVector()

~GaussianVector ( )

final

Member Function Documentation

Mean()

Eigen::VectorXd Mean ( ) const

finalvirtual

Implements DistributionVector.

operator=() [1/2]

GaussianVector& operator= ( const GaussianVector< Size > &  )

default

operator=() [2/2]

GaussianVector& operator= ( GaussianVector< Size > &&  )

default

Sample()

Eigen::VectorXd Sample ( drake::RandomGenerator *  ) const

finalvirtual

Implements DistributionVector.

Serialize()

void Serialize

(

Archive *

a

)

ToSymbolic()

drake::VectorX<drake::symbolic::Expression> ToSymbolic ( ) const

finalvirtual

Implements DistributionVector.

Member Data Documentation

mean

drake::Vector<double, Size> mean

stddev

drake::VectorX<double> stddev

---

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

• drake/common/schema/stochastic.h