clue::ExponentialKernel Class Reference

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...

#include <ConvolutionalKernel.hpp>

Public Member Functions
	ExponentialKernel (float exp_avg, float exp_amplitude)
	Construct an ExponentialKernel object.
template<typename TAcc>
ALPAKA_FN_HOST_ACC float	operator() (const TAcc &acc, float dist_ij, int point_id, int j) const
	Computes the kernel value between two points.

Detailed Description

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.

Constructor & Destructor Documentation

ExponentialKernel()

clue::ExponentialKernel::ExponentialKernel	(	float	exp_avg,
		float	exp_amplitude )

Construct an ExponentialKernel object.

Parameters

exp_avg	The average value for the exponential kernel
exp_amplitude	The amplitude for the exponential kernel

Member Function Documentation

operator()()

template<typename TAcc>

ALPAKA_FN_HOST_ACC float clue::ExponentialKernel::operator()	(	const TAcc &	acc,
		float	dist_ij,
		int	point_id,
		int	j ) const

Computes the kernel value between two points.

Parameters

acc	The accelerator to use for the computation
dist_ij	The distance between the two points
point_id	The index of the first point
j	The index of the second point

Returns

The computed kernel value

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The documentation for this class was generated from the following file:

• include/CLUEstering/core/ConvolutionalKernel.hpp