Distribution Class Reference

Detailed Description

Base class for a single distribution, to be used with YAML archives.

(See class DistributionVector for vector-valued distributions.)

See Implementing Serialize for implementation details, especially the unusually public member fields of our subclasses.

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

Public Member Functions
virtual	~Distribution ()
virtual double	Sample (drake::RandomGenerator *generator) const =0
virtual double	Mean () const =0
virtual drake::symbolic::Expression	ToSymbolic () const =0

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

Constructor & Destructor Documentation

~Distribution()

virtual ~Distribution ( )

virtual

Distribution() [1/3]

Distribution ( const Distribution &  )

protecteddefault

Distribution() [2/3]

Distribution ( Distribution &&  )

protecteddefault

Distribution() [3/3]

Distribution ( )

protected

Member Function Documentation

Mean()

virtual double Mean ( ) const

pure virtual

Implemented in UniformDiscrete, Uniform, Gaussian, and Deterministic.

operator=() [1/2]

Distribution& operator= ( Distribution &&  )

protecteddefault

operator=() [2/2]

Distribution& operator= ( const Distribution &  )

protecteddefault

Sample()

virtual double Sample ( drake::RandomGenerator *  generator ) const

pure virtual

Implemented in UniformDiscrete, Uniform, Gaussian, and Deterministic.

ToSymbolic()

virtual drake::symbolic::Expression ToSymbolic ( ) const

pure virtual

Implemented in UniformDiscrete, Uniform, Gaussian, and Deterministic.

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

• drake/common/schema/stochastic.h