comparison src/SbpOperators/boundaryops/normal_derivative.jl @ 1207:f1c2a4fa0ee1 performance/get_region_type_inference

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author Jonatan Werpers <jonatan@werpers.com>
date Fri, 03 Feb 2023 22:14:47 +0100
parents c0ab81e4c39c
children 54c3ed752730
comparison
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919:b41180efb6c2 1207:f1c2a4fa0ee1
1 """ 1 """
2 normal_derivative(grid::EquidistantGrid, closure_stencil::Stencil, boundary::CartesianBoundary) 2 normal_derivative(grid, closure_stencil::Stencil, boundary)
3 normal_derivative(grid::EquidistantGrid{1}, closure_stencil::Stencil, region::Region)
4 3
5 Creates the normal derivative boundary operator `d` as a `TensorMapping` 4 Creates the normal derivative boundary operator `d` as a `LazyTensor`
6 5
7 `d` is the normal derivative of a grid function at the boundary specified by `boundary` or `region` using some `closure_stencil`. 6 `d` computes the normal derivative of a grid function on `boundary` a `Stencil` `closure_stencil`.
8 `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`.
9 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
10 a `BoundaryOperator`. Also see the documentation of `SbpOperators.boundary_operator(...)` for more details. 9 a `BoundaryOperator`.
10
11 See also: [`BoundaryOperator`](@ref), [`LazyTensors.inflate`](@ref).
11 """ 12 """
12 function normal_derivative(grid::EquidistantGrid, closure_stencil, boundary::CartesianBoundary) 13 function normal_derivative(grid, closure_stencil, boundary)
13 direction = dim(boundary) 14 direction = dim(boundary)
14 h_inv = inverse_spacing(grid)[direction] 15 h_inv = inverse_spacing(grid)[direction]
15 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))
16 end 19 end
17 normal_derivative(grid::EquidistantGrid{1}, closure_stencil, region::Region) = normal_derivative(grid, closure_stencil, CartesianBoundary{1,typeof(region)}()) 20
18 export normal_derivative 21 """
22 normal_derivative(grid, stencil_set, boundary)
23
24 Creates a `normal_derivative` operator on `grid` given a `stencil_set`.
25 """
26 normal_derivative(grid, stencil_set::StencilSet, boundary) = normal_derivative(grid, parse_stencil(stencil_set["d1"]["closure"]), boundary)