pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t > Class Template Reference

Base class for resampler types that use a Hilbert curve sorting technique. More...

#include <resamplers.h>

Public Types
using	ssv = Eigen::Matrix< float_t, dimx, 1 >
using	arrayVec = std::array< ssv, nparts >
using	arrayFloat = std::array< float_t, nparts >
using	usvr = Eigen::Matrix< float_t, dimur, 1 >

Public Member Functions
	rbase_hcs ()=default
	The default constructor. There is no seed-setting.
virtual void	resampLogWts (arrayVec &oldParts, arrayFloat &oldLogUnNormWts, const usvr &ur)=0
	Function to resample from log unnormalized weights. More...
std::array< unsigned, nparts >	get_permutation (const arrayVec &unsortedParts)
	get a permutation based on unsorted particle samples (not their weights) More...

Static Private Member Functions
static bool	hilbertComparison (const ssv &first, const ssv &second)
	Function that "sorts" multidimensional vectors using an (inverse) Hilbert-curve map. For more information see https://arxiv.org/pdf/1511.04992.pdf.

Detailed Description

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t>
class pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >

Base class for resampler types that use a Hilbert curve sorting technique.

Author

taylor

Date

08/06/21

Member Typedef Documentation

arrayFloat

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t >

using pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >::arrayFloat = std::array<float_t,nparts>

type alias for array of float_ts

arrayVec

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t >

using pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >::arrayVec = std::array<ssv, nparts>

type alias for array of Eigen Matrices

ssv

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t >

using pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >::ssv = Eigen::Matrix<float_t,dimx,1>

type alias for linear algebra stuff

usvr

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t >

using pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >::usvr = Eigen::Matrix<float_t,dimur,1>

type alias for common normal random variable

Member Function Documentation

get_permutation()

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t >

std::array< unsigned, nparts > pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >::get_permutation

(

const arrayVec &

unsortedParts

)

get a permutation based on unsorted particle samples (not their weights)

Parameters

unsortedParts

the particle samples

Returns

the permutation as a std::array

resampLogWts()

template<size_t nparts, size_t dimx, size_t dimur, size_t num_hilb_bits, typename float_t >

virtual void pf::resamplers::rbase_hcs< nparts, dimx, dimur, num_hilb_bits, float_t >::resampLogWts ( arrayVec &  oldParts, arrayFloat &  oldLogUnNormWts, const usvr &  ur  )

pure virtual

Function to resample from log unnormalized weights.

Parameters

oldParts
oldLogUnNormWts
ur	common random number used to resample.

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

• include/pf/resamplers.h