#include <mrpt/utils/utils_defs.h>
#include <mrpt/math/CMatrixTemplateNumeric.h>
#include <mrpt/math/ops_matrices.h>
Go to the source code of this file.
Classes | |
class | mrpt::random::CRandomGenerator |
A thred-safe pseudo random number generator, based on an internal MT19937 randomness generator. More... | |
struct | mrpt::random::CRandomGenerator::TMT19937_data |
Data used internally by the MT19937 PRNG algorithm. More... | |
Namespaces | |
namespace | mrpt |
This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries. | |
namespace | mrpt::random |
A namespace of pseudo-random numbers genrators of diferent distributions. | |
Functions | |
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): | |
mrpt::random::MRPT_DECLARE_DEPRECATED_FUNCTION ("** deprecated **: Use mrpt::random::randomGenerator instead", double normalizedGaussian(double *likelihood=NULL)) | |
Generate a normalized normally distributed pseudo-random number. | |
mrpt::random::MRPT_DECLARE_DEPRECATED_FUNCTION ("** deprecated **: Use mrpt::random::randomGenerator instead", double RandomNormal(double mean=0, double std=1)) | |
Generate a normally distributed pseudo-random number. | |
mrpt::random::MRPT_DECLARE_DEPRECATED_FUNCTION ("** deprecated **: Use mrpt::random::randomGenerator instead", uint32_t RandomUniInt()) | |
Generate a uniformly distributed pseudo-random number using the MT19937 algorithm, in the whole range of 32-bit integers. | |
mrpt::random::MRPT_DECLARE_DEPRECATED_FUNCTION ("** deprecated **: Use mrpt::random::randomGenerator instead", double RandomUni(const double min, const double max)) | |
Generate a uniformly distributed pseudo-random number using the MT19937 algorithm, scaled to the selected range. | |
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. | |
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. | |
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. | |
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. | |
void | mrpt::random::Randomize (const uint32_t seed) |
Randomize the generators. | |
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. | |
template<typename T > | |
void | mrpt::random::randomNormalMultiDimensional (const CMatrixTemplateNumeric< T > &cov, std::vector< T > &out_result) |
Generate multidimensional random samples according to a given covariance matrix. | |
template<typename T > | |
void | mrpt::random::randomNormalMultiDimensionalMany (const CMatrixTemplateNumeric< T > &cov, size_t desiredSamples, std::vector< std::vector< T > > &ret, std::vector< T > *samplesLikelihoods=NULL) |
Generate a given number of multidimensional random samples according to a given covariance matrix. | |
template<typename T , size_t N> | |
void | mrpt::random::randomNormalMultiDimensionalMany (const CMatrixFixedNumeric< T, N, N > &cov, size_t desiredSamples, std::vector< std::vector< T > > &ret) |
Generate multidimensional random samples according to a given covariance matrix. | |
template<typename T , size_t N> | |
void | mrpt::random::randomNormalMultiDimensional (const CMatrixFixedNumeric< T, N, N > &cov, std::vector< T > &out_result) |
Generate multidimensional random samples according to a given covariance matrix. | |
Variables | |
BASE_IMPEXP CRandomGenerator | mrpt::random::randomGenerator |
A static instance of a CRandomGenerator class, for use in single-thread applications. |
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