Program Listing for File NearestNeighborsSqrtApprox.h
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/* Author: Ioan Sucan */
#ifndef OMPL_DATASTRUCTURES_NEAREST_NEIGHBORS_SQRT_APPROX_
#define OMPL_DATASTRUCTURES_NEAREST_NEIGHBORS_SQRT_APPROX_
#include "ompl/datastructures/NearestNeighborsLinear.h"
#include <algorithm>
#include <cmath>
namespace ompl
{
template <typename _T>
class NearestNeighborsSqrtApprox : public NearestNeighborsLinear<_T>
{
public:
NearestNeighborsSqrtApprox() = default;
~NearestNeighborsSqrtApprox() override = default;
void clear() override
{
NearestNeighborsLinear<_T>::clear();
checks_ = 0;
offset_ = 0;
}
void add(const _T &data) override
{
NearestNeighborsLinear<_T>::add(data);
updateCheckCount();
}
void add(const std::vector<_T> &data) override
{
NearestNeighborsLinear<_T>::add(data);
updateCheckCount();
}
bool remove(const _T &data) override
{
bool result = NearestNeighborsLinear<_T>::remove(data);
if (result)
updateCheckCount();
return result;
}
_T nearest(const _T &data) const override
{
const std::size_t n = NearestNeighborsLinear<_T>::data_.size();
std::size_t pos = n;
if (checks_ > 0 && n > 0)
{
double dmin = 0.0;
for (std::size_t j = 0; j < checks_; ++j)
{
std::size_t i = (j * checks_ + offset_) % n;
double distance = NearestNeighbors<_T>::distFun_(NearestNeighborsLinear<_T>::data_[i], data);
if (pos == n || dmin > distance)
{
pos = i;
dmin = distance;
}
}
offset_ = (offset_ + 1) % checks_;
}
if (pos != n)
return NearestNeighborsLinear<_T>::data_[pos];
throw Exception("No elements found in nearest neighbors data structure");
}
protected:
inline void updateCheckCount()
{
checks_ = 1 + (std::size_t)floor(sqrt((double)NearestNeighborsLinear<_T>::data_.size()));
}
std::size_t checks_{0};
mutable std::size_t offset_{0};
};
}
#endif