WENO/WENO-Z/TENO reconstruction with optional monotonicity-preserving bounds and mapped weights. More...

Functions/Subroutines
impure subroutine, public	s_initialize_weno_module
	Initialize the WENO module.
subroutine	s_compute_weno_coefficients (weno_dir, is)
	Compute WENO polynomial coefficients, ideal weights, and smoothness indicators for a given direction.
subroutine, public	s_pack_weno_input_arr (v_vf)
subroutine, public	s_weno (v_vf, vl_rs_vf_x, vr_rs_vf_x, weno_dir, is1_weno_d, is2_weno_d, is3_weno_d)
	Perform WENO reconstruction of left and right cell-boundary values from cell-averaged variables.
subroutine	s_preserve_monotonicity (v_rs_ws, vl_rs_vf, vr_rs_vf, weno_dir)
	Enforce monotonicity-preserving bounds on the WENO reconstruction.
impure subroutine, public	s_finalize_weno_module ()
	Module deallocation and/or disassociation procedures.

Variables
integer	v_size
	Number of WENO-reconstructed cell-average variables.
logical, dimension(3)	uniform_grid
	True if grid spacing is uniform in each direction.
The cell-average variables that will be WENO-reconstructed unpacked into an array for performance
real(wp), dimension(:,:,:,:), allocatable	v_rs_weno
Polynomial coefficients at the left and right cell-boundaries (CB) and at the left and right quadrature points (QP), in
the x-, y- and z-directions. Note that the first dimension of the array identifies the polynomial, the second dimension identifies the position of its coefficients and the last dimension denotes the cell-location in the relevant coordinate direction.
real(wp), dimension(:,:,:), allocatable, target	poly_coef_cbl_x
real(wp), dimension(:,:,:), allocatable, target	poly_coef_cbl_y
real(wp), dimension(:,:,:), allocatable, target	poly_coef_cbl_z
real(wp), dimension(:,:,:), allocatable, target	poly_coef_cbr_x
real(wp), dimension(:,:,:), allocatable, target	poly_coef_cbr_y
real(wp), dimension(:,:,:), allocatable, target	poly_coef_cbr_z
The ideal weights at the left and the right cell-boundaries and at the left and the right quadrature points, in x-, y-
and z-directions. Note that the first dimension of the array identifies the weight, while the last denotes the cell-location in the relevant coordinate direction.
real(wp), dimension(:,:), allocatable, target	d_cbl_x
real(wp), dimension(:,:), allocatable, target	d_cbl_y
real(wp), dimension(:,:), allocatable, target	d_cbl_z
real(wp), dimension(:,:), allocatable, target	d_cbr_x
real(wp), dimension(:,:), allocatable, target	d_cbr_y
real(wp), dimension(:,:), allocatable, target	d_cbr_z
Smoothness indicator coefficients in the x-, y-, and z-directions. Note that the first array dimension identifies the
smoothness indicator, the second identifies the position of its coefficients and the last denotes the cell-location in the relevant coordinate direction.
real(wp), dimension(:,:,:), allocatable, target	beta_coef_x
real(wp), dimension(:,:,:), allocatable, target	beta_coef_y
real(wp), dimension(:,:,:), allocatable, target	beta_coef_z
Indical bounds in the s1-, s2- and s3-directions
type(int_bounds_info)	is1_weno
type(int_bounds_info)	is2_weno
type(int_bounds_info)	is3_weno

Detailed Description

WENO/WENO-Z/TENO reconstruction with optional monotonicity-preserving bounds and mapped weights.

Function/Subroutine Documentation

◆ s_compute_weno_coefficients()

subroutine m_weno::s_compute_weno_coefficients	(	integer, intent(in)	weno_dir,
		type(int_bounds_info), intent(in)	is )

Compute WENO polynomial coefficients, ideal weights, and smoothness indicators for a given direction.

Definition at line 1081 of file m_weno.fpp.f90.