gradparx2.cpp File Reference

#include "globals.hpp"
#include "gradparx2.hpp"

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Classes
class	Boundary

Functions
void	negative_gradparx2 (const Grid< DeviceType > &grid, int nseg, double sml_bt_sign, int *tr_fort, double *p_fort, double *dx_fort, rtype *bd_fort, const Kokkos::View< double **, Kokkos::LayoutRight, DeviceType > &input, const Kokkos::View< double **, Kokkos::LayoutRight, DeviceType > &output)

Function Documentation

void negative_gradparx2	(	const Grid< DeviceType > &	grid,
		int	nseg,
		double	sml_bt_sign,
		int *	tr_fort,
		double *	p_fort,
		double *	dx_fort,
		rtype *	bd_fort,
		const Kokkos::View< double **, Kokkos::LayoutRight, DeviceType > &	input,
		const Kokkos::View< double **, Kokkos::LayoutRight, DeviceType > &	output
	)

Calculates the gradient of the input array. Includes a precomputation to check which nodes are inside the boundary provided. This could be done once in grid setup and stored. This code is called from Fortran and is self-contained. Thus, everything needed is passed from Fortran to C++ even though grid information is already in the C++ grid object. It will eventually be refactored accordingly.

Parameters

[in]	grid	is the grid object
[in]	nseg	is the number of boundary segments(?)
[in]	sml_bt_sign	is the user-input direction of the toroidal magnetic field
[in]	tr_fort	is an array of the triangles the corresponding to the field-following path through the vertex
[in]	p_fort	is an array of the weights of the three triangle vertices for tr_fort triangles
[in]	dx_fort	is an array of distances
[in]	bd_fort	is an array of the boundary segments
[in]	input	is the potential
[out]	output	is the gradient of the potential

Returns

void

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