#include "gradient_matrices.hpp"
#include "grid.hpp"

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Functions
void	grid_deriv (const GradientMatrices< DeviceType > &gm, const Grid< DeviceType > &grid, const Kokkos::View< double , Kokkos::LayoutRight, DeviceType > &qty, const Kokkos::View< double , Kokkos::LayoutRight, DeviceType > &qty_deriv_x, const Kokkos::View< double *, Kokkos::LayoutRight, DeviceType > &qty_deriv_y, bool discard_when_basis_is_one)

Function Documentation

◆ grid_deriv()

void grid_deriv	(	const GradientMatrices< DeviceType > &	gm,
		const Grid< DeviceType > &	grid,
		const Kokkos::View< double *, Kokkos::LayoutRight, DeviceType > &	qty,
		const Kokkos::View< double *, Kokkos::LayoutRight, DeviceType > &	qty_deriv_x,
		const Kokkos::View< double *, Kokkos::LayoutRight, DeviceType > &	qty_deriv_y,
		bool	discard_when_basis_is_one
	)

Computes the gradient of grid based quantities If sml_grad_psitheta is defined, the output are the psi-theta components of the field, if sml_grad_psitheta is not defined, the output are the R-Z components Conversion to R-Z is done in efield routine.

Parameters

[in]	gm	is the gradient matrices
[in]	grid	is the grid object
[in]	qty	is the quantity you want the gradient of
[out]	qty_deriv_x	is grad_x(qty)
[out]	qty_deriv_y	is grad_y(qty)
[in]	discard_when_basis_is_one	is a flag for whether to check the basis and zero out grad_y(qty) if it is 1

Returns: void

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Functions

Function Documentation

◆ grid_deriv()