drawManySamples(size_t N, std::vector< mrpt::math::CVectorDouble > &outSamples) const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inlinevirtual |
drawSingleSample(TDATA &outPart) const =0 | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | pure virtual |
getCovariance(mrpt::math::CMatrixDouble &cov) const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inline |
getCovariance(mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov) const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inline |
getCovariance() const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inline |
getCovarianceAndMean(mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov, TDATA &mean_point) const =0 | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | pure virtual |
getCovarianceDynAndMean(mrpt::math::CMatrixDouble &cov, TDATA &mean_point) const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inline |
getCovarianceEntropy() const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inline |
getInformationMatrix(mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &inf) const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inlinevirtual |
getMean(TDATA &mean_point) const =0 | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | pure virtual |
getMeanVal() const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inline |
isInfType() const | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | inlinevirtual |
saveToTextFile(const std::string &file) const =0 | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | pure virtual |
self_t typedef | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | |
state_length | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | static |
type_value typedef | mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN > | |