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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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The resamplers: function objects that draw ancestors in proportion to weights, which ParticleSet::resample() and the Resample upkeep action call. More...
#include <algorithm>#include <cmath>#include <concepts>#include <cstddef>#include <random>#include <span>#include <utility>#include <vector>#include <EmrysFilter/Core/Execution.h>#include <EmrysFilter/Core/Macros.h>Go to the source code of this file.
Classes | |
| struct | Emrys::resamplers::Multinomial |
| Draws each ancestor independently. More... | |
| struct | Emrys::resamplers::Stratified |
| Draws one uniform in each of M equal strata of [0, 1). More... | |
| struct | Emrys::resamplers::Systematic |
| Uses one uniform offset for M evenly spaced positions in [0, 1). More... | |
| struct | Emrys::resamplers::Residual< Inner > |
Chooses index i floor( \( M w_i / \sum w \)) times deterministically, then draws the remainder with Inner from the fractional parts. More... | |
Namespaces | |
| namespace | Emrys::resamplers |
| The resamplers, each made by its factory (decisions.md [policy-factories]): multinomial(), stratified(), systematic(), and residual(). | |
Concepts | |
| concept | Emrys::Resampler |
| Requirements on a resampler for scalar type Scalar and random generator G. | |
| concept | Emrys::ResamplerWithScratch |
A Resampler that also takes scratch, called as r(weights, ancestors, rng, scratch) with scratch a std::span<Scalar> of at least weights.size() + ancestors.size() elements. | |
| concept | Emrys::ResamplerUnder |
A Resampler that also runs under the execution policy P, called as r(policy, weights, ancestors, rng). | |
Functions | |
| constexpr Multinomial | Emrys::resamplers::multinomial () |
| constexpr Stratified | Emrys::resamplers::stratified () |
| constexpr Systematic | Emrys::resamplers::systematic () |
| template<typename Inner = Multinomial> | |
| constexpr Residual< Inner > | Emrys::resamplers::residual (Inner inner={}) |
The resamplers: function objects that draw ancestors in proportion to weights, which ParticleSet::resample() and the Resample upkeep action call.
Multinomial, stratified, systematic, and residual resampling, sequentially or under an execution policy, with the Resampler and ResamplerUnder concepts. Read ChiSquared.h next.