Lattice.h File Reference

#include <shark/LinAlg/Base.h>
#include <shark/LinAlg/Metrics.h>
#include <shark/Core/Random.h>
#include <numeric>

Go to the source code of this file.

Namespaces
	shark
	AbstractMultiObjectiveOptimizer.

Typedefs
typedef std::pair< double, RealVector >	shark::Preference
	A preferred region in a lattice-sampled unit sphere. More...

Functions
template<typename Matrix , typename randomType = shark::random::rng_type>
Matrix	shark::sampleLatticeUniformly (randomType &rng, Matrix const &matrix, std::size_t const n, bool const keep_corners=true)
RealMatrix	shark::preferenceAdjustedUnitVectors (std::size_t const n, std::size_t const sum, std::vector< Preference > const &preferences)
	Return a set of evenly spaced n-dimensional points on the unit sphere clustered around the specified preference points. More...
RealMatrix	shark::preferenceAdjustedWeightVectors (std::size_t const n, std::size_t const sum, std::vector< Preference > const &preferences)
	Return a set of of evenly spaced n-dimensional points on the "unit simplex" clustered around the specified preference points. More...
std::size_t	shark::computeOptimalLatticeTicks (std::size_t const n, std::size_t const target_count)
	Computes the number of Ticks for a grid of a certain size. More...
RealMatrix	shark::weightLattice (std::size_t const n, std::size_t const sum)
	Returns a set of evenly spaced n-dimensional points on the "unit simplex". More...
RealMatrix	shark::unitVectorsOnLattice (std::size_t const n, std::size_t const sum)
	Return a set of evenly spaced n-dimensional points on the unit sphere. More...
template<typename Matrix >
UIntMatrix	shark::computeClosestNeighbourIndicesOnLattice (Matrix const &m, std::size_t const n)