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comparison src/SbpOperators/boundaryops/normal_derivative.jl @ 1162:62aaed9cf76b feature/dissipation_operators

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Merge default
author Jonatan Werpers <jonatan@werpers.com>
date Tue, 29 Nov 2022 22:43:57 +0100
parents c0ab81e4c39c
children 54c3ed752730
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1098:6f51160c7ca7 1162:62aaed9cf76b
6 `d` computes the normal derivative of a grid function on `boundary` a `Stencil` `closure_stencil`. 6 `d` computes the normal derivative of a grid function on `boundary` a `Stencil` `closure_stencil`.
7 `d'` is the prolongation of the normal derivative of a grid function to the whole grid using the same `closure_stencil`. 7 `d'` is the prolongation of the normal derivative of a grid function to the whole grid using the same `closure_stencil`.
8 On a one-dimensional `grid`, `d` is a `BoundaryOperator`. On a multi-dimensional `grid`, `d` is the inflation of 8 On a one-dimensional `grid`, `d` is a `BoundaryOperator`. On a multi-dimensional `grid`, `d` is the inflation of
9 a `BoundaryOperator`. 9 a `BoundaryOperator`.
10 10
11 See also: [`boundary_operator`](@ref). 11 See also: [`BoundaryOperator`](@ref), [`LazyTensors.inflate`](@ref).
12 """ 12 """
13 function normal_derivative(grid, closure_stencil, boundary) 13 function normal_derivative(grid, closure_stencil, boundary)
14 direction = dim(boundary) 14 direction = dim(boundary)
15 h_inv = inverse_spacing(grid)[direction] 15 h_inv = inverse_spacing(grid)[direction]
16 return SbpOperators.boundary_operator(grid, scale(closure_stencil,h_inv), boundary) 16
17 op = BoundaryOperator(restrict(grid, dim(boundary)), scale(closure_stencil,h_inv), region(boundary))
18 return LazyTensors.inflate(op, size(grid), dim(boundary))
17 end 19 end
18 20
19 """ 21 """
20 normal_derivative(grid, stencil_set, boundary) 22 normal_derivative(grid, stencil_set, boundary)
21 23