DistributionVector Class Reference

Detailed Description

Base class for a vector of distributions, to be used with YAML archives.

(See class Distribution for scalar-valued distributions.)

See implementing_serialize for implementation details, especially the unusually public member fields in our subclasses.

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

Public Member Functions
virtual	~DistributionVector ()
virtual Eigen::VectorXd	Sample (drake::RandomGenerator *generator) const =0
virtual Eigen::VectorXd	Mean () const =0
virtual drake::VectorX< drake::symbolic::Expression >	ToSymbolic () const =0

Protected Member Functions
	DistributionVector ()
Implements CopyConstructible, CopyAssignable, MoveConstructible, MoveAssignable
	DistributionVector (const DistributionVector &)=default
DistributionVector &	operator= (const DistributionVector &)=default
	DistributionVector (DistributionVector &&)=default
DistributionVector &	operator= (DistributionVector &&)=default

Constructor & Destructor Documentation

~DistributionVector()

virtual ~DistributionVector ( )

virtual

DistributionVector() [1/3]

DistributionVector ( const DistributionVector &  )

protecteddefault

DistributionVector() [2/3]

DistributionVector ( DistributionVector &&  )

protecteddefault

DistributionVector() [3/3]

DistributionVector ( )

protected

Member Function Documentation

Mean()

virtual Eigen::VectorXd Mean ( ) const

pure virtual

Implemented in UniformVector< Size >, GaussianVector< Size >, and DeterministicVector< Size >.

operator=() [1/2]

DistributionVector& operator= ( DistributionVector &&  )

protecteddefault

operator=() [2/2]

DistributionVector& operator= ( const DistributionVector &  )

protecteddefault

Sample()

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

pure virtual

Implemented in UniformVector< Size >, GaussianVector< Size >, and DeterministicVector< Size >.

ToSymbolic()

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

pure virtual

Implemented in UniformVector< Size >, GaussianVector< Size >, and DeterministicVector< Size >.

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

• drake/common/schema/stochastic.h