ConvolutionalKernel.hpp File Reference

Provides the kernel classes for the convolution done when computing the weighted density of the points. More...

#include <alpaka/alpaka.hpp>
#include "CLUEstering/core/detail/ConvolutionalKernel.hpp"

Go to the source code of this file.

Classes
class	clue::FlatKernel
	The FlatKernel class implements a flat kernel for convolution. It returns a constant value for the kernel, regardless of the distance between points. More...
class	clue::GaussianKernel
	The GaussianKernel class implements a Gaussian kernel for convolution. It computes the kernel value based on the Gaussian function, which is defined by its average, standard deviation, and amplitude. More...
class	clue::ExponentialKernel
	The ExponentialKernel class implements an exponential kernel for convolution. It computes the kernel value based on the exponential function, which is defined by its average and amplitude. More...

Detailed Description

Provides the kernel classes for the convolution done when computing the weighted density of the points.

Authors

Simone Balducci, Felice Pantaleo, Marco Rovere, Wahid Redjeb, Aurora Perego, Francesco Giacomini