Laplacian second order approximation CENTRAL Scheme (with central derivative in the single) More...
Laplacian second order approximation CENTRAL Scheme (with central derivative in the single)
1.0
*
| -4.0
1.0 *---+---* 1.0
|
*
1.0
*
Definition at line 133 of file Laplacian.hpp.
#include <Laplacian.hpp>
Static Public Member Functions | |
| static void | value (const typename stub_or_real< Sys_eqs, Sys_eqs::dims, typename Sys_eqs::stype, typename Sys_eqs::b_grid::decomposition::extended_type >::type &g_map, grid_dist_key_dx< Sys_eqs::dims > &kmap, const grid_sm< Sys_eqs::dims, void > &gs, typename Sys_eqs::stype(&spacing)[Sys_eqs::dims], std::unordered_map< long int, typename Sys_eqs::stype > &cols, typename Sys_eqs::stype coeff) |
| Calculate which colums of the Matrix are non zero. | |
|
inlinestatic |
Calculate which colums of the Matrix are non zero.
stub_or_real it is just for change the argument type when testing, in normal conditions it is a distributed map
| g_map | map grid |
| kmap | position in the grid |
| spacing | of the grid |
| gs | Grid info |
| cols | non-zero colums calculated by the function |
| coeff | coefficent (constant in front of the derivative) |
Definition at line 155 of file Laplacian.hpp.