71 lines
1.7 KiB
C++
71 lines
1.7 KiB
C++
// (c) Thales group, 2010
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/*
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Authors:
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Johann Dreo <johann.dreo@thalesgroup.com>
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Caner Candan <caner.candan@thalesgroup.com>
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*/
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#ifndef _doSamplerNormalMono_h
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#define _doSamplerNormalMono_h
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#include <utils/eoRNG.h>
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#include "doSampler.h"
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#include "doNormalMono.h"
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#include "doBounder.h"
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/**
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* doSamplerNormalMono
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* This class uses the NormalMono distribution parameters (bounds) to return
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* a random position used for population sampling.
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*/
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template < typename EOT >
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class doSamplerNormalMono : public doSampler< doNormalMono< EOT > >
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{
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public:
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typedef typename EOT::AtomType AtomType;
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doSamplerNormalMono( doBounder< EOT > & bounder )
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: doSampler< doNormalMono< EOT > >( bounder )
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{}
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EOT sample( doNormalMono< EOT >& distrib )
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{
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unsigned int size = distrib.size();
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assert(size > 0);
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//-------------------------------------------------------------
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// Point we want to sample to get higher a set of points
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// (coordinates in n dimension)
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// x = {x1, x2, ..., xn}
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//-------------------------------------------------------------
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EOT solution;
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//-------------------------------------------------------------
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//-------------------------------------------------------------
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// Sampling all dimensions
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//-------------------------------------------------------------
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for (unsigned int i = 0; i < size; ++i)
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{
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AtomType mean = distrib.mean()[i];
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AtomType variance = distrib.variance()[i];
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AtomType random = rng.normal(mean, variance);
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assert(variance >= 0);
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solution.push_back(random);
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}
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//-------------------------------------------------------------
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return solution;
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}
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};
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#endif // !_doSamplerNormalMono_h
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