RandomGenerators.h File Reference

#include <mrpt/random/random_shuffle.h>
#include <algorithm>
#include <cstddef>
#include <limits>
#include <random>
#include <stdexcept>
#include <type_traits>
#include <vector>

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Classes
class	Eigen::SelfAdjointEigenSolver< _MatrixType >
class	mrpt::random::Generator_MT19937
	Portable MT19937 random generator, C++11 UniformRandomBitGenerator compliant. More...
class	mrpt::random::CRandomGenerator
	A thred-safe pseudo random number generator, based on an internal MT19937 randomness generator. More...

Namespaces
	Eigen
	mrpt
	This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
	mrpt::random
	A namespace of pseudo-random numbers generators of diferent distributions.

Functions
CRandomGenerator &	mrpt::random::getRandomGenerator ()
	A static instance of a CRandomGenerator class, for use in single-thread applications. More...
ptrdiff_t	mrpt::random::random_generator_for_STL (ptrdiff_t i)
	A random number generator for usage in STL algorithms expecting a function like this (eg, random_shuffle): More...
template<class MAT >
void	mrpt::random::matrixRandomUni (MAT &matrix, const double unif_min=0, const double unif_max=1)
	Fills the given matrix with independent, uniformly distributed samples. More...
template<class T >
void	mrpt::random::vectorRandomUni (std::vector< T > &v_out, const T &unif_min=0, const T &unif_max=1)
	Fills the given matrix with independent, uniformly distributed samples. More...
template<class MAT >
void	mrpt::random::matrixRandomNormal (MAT &matrix, const double mean=0, const double std=1)
	Fills the given matrix with independent, normally distributed samples. More...
template<class T >
void	mrpt::random::vectorRandomNormal (std::vector< T > &v_out, const T &mean=0, const T &std=1)
	Generates a random vector with independent, normally distributed samples. More...
void	mrpt::random::Randomize (const uint32_t seed)
	Randomize the generators. More...
void	mrpt::random::Randomize ()
template<class T >
void	mrpt::random::randomPermutation (const std::vector< T > &in_vector, std::vector< T > &out_result)
	Returns a random permutation of a vector: all the elements of the input vector are in the output but at random positions. More...
template<typename T , typename MATRIX >
void	mrpt::random::randomNormalMultiDimensionalMany (const MATRIX &cov, size_t desiredSamples, std::vector< std::vector< T >> &ret, std::vector< T > *samplesLikelihoods=nullptr)
	Generate a given number of multidimensional random samples according to a given covariance matrix. More...
template<typename T , typename MATRIXLIKE >
void	mrpt::random::randomNormalMultiDimensionalMany (const MATRIXLIKE &cov, size_t desiredSamples, std::vector< std::vector< T >> &ret)
	Generate multidimensional random samples according to a given covariance matrix. More...
template<typename T , typename MATRIX >
void	mrpt::random::randomNormalMultiDimensional (const MATRIX &cov, std::vector< T > &out_result)
	Generate multidimensional random samples according to a given covariance matrix. More...