stomp_moveit::math::MultivariateGaussian Class Reference

Generates samples from a multivariate gaussian distribution. More...

#include <multivariate_gaussian.hpp>

Public Member Functions
template<typename Derived1, typename Derived2>
	MultivariateGaussian (const Eigen::MatrixBase< Derived1 > &mean, const Eigen::MatrixBase< Derived2 > &covariance)
template<typename Derived>
void	sample (Eigen::MatrixBase< Derived > &output, bool use_covariance=true)
	generates random values using a normal distribution.

Detailed Description

Generates samples from a multivariate gaussian distribution.

Definition at line 58 of file multivariate_gaussian.hpp.

Constructor & Destructor Documentation

MultivariateGaussian()

template<typename Derived1, typename Derived2>

stomp_moveit::math::MultivariateGaussian::MultivariateGaussian	(	const Eigen::MatrixBase< Derived1 > &	mean,
		const Eigen::MatrixBase< Derived2 > &	covariance )

Definition at line 84 of file multivariate_gaussian.hpp.

Member Function Documentation

sample()

template<typename Derived>

void stomp_moveit::math::MultivariateGaussian::sample	(	Eigen::MatrixBase< Derived > &	output,
		bool	use_covariance = true )

generates random values using a normal distribution.

Parameters

output	The random values
use_covariance	True to apply the covariance matrix onto the random values, false otherwise

Definition at line 92 of file multivariate_gaussian.hpp.

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

• moveit_planners/stomp/include/stomp_moveit/math/multivariate_gaussian.hpp