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comparison src/SbpOperators/boundaryops/boundary_restriction.jl @ 1365:4684c7f1c4cb feature/variable_derivatives

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Merge with default
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Sun, 21 May 2023 21:55:14 +0200
parents 08f06bfacd5c
children 65b2d2c72fbc
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1358:e7861cfb6ede 1365:4684c7f1c4cb
1 """ 1 """
2 boundary_restriction(grid, closure_stencil::Stencil, boundary) 2 boundary_restriction(g, stencil_set::StencilSet, boundary)
3 boundary_restriction(g::TensorGrid, stencil_set::StencilSet, boundary::TensorGridBoundary)
4 boundary_restriction(g::EquidistantGrid, stencil_set::StencilSet, boundary)
3 5
4 Creates boundary restriction operators `e` as `LazyTensor`s on `boundary` 6 Creates boundary restriction operators `e` as `LazyTensor`s on `boundary`
5 7
6 `e` is the restriction of a grid function to `boundary` using a `Stencil` `closure_stencil`. 8 `e` restricts a grid function on `g` to `boundary` using the 'e' stencil
7 `e'` is the prolongation of a grid function on `boundary` to the whole grid using the same `closure_stencil`. 9 in `stencil_set`. `e'` prolongates a grid function on
8 On a one-dimensional `grid`, `e` is a `BoundaryOperator`. On a multi-dimensional `grid`, `e` is the inflation of 10 `boundary` to the whole grid using the same stencil. On a one-dimensional
9 a `BoundaryOperator`. 11 grid, `e` is a `BoundaryOperator`. On a multi-dimensional grid, `e` is the
12 inflation of a `BoundaryOperator`.
10 13
11 See also: [`BoundaryOperator`](@ref), [`LazyTensors.inflate`](@ref). 14 See also: [`BoundaryOperator`](@ref), [`LazyTensors.inflate`](@ref).
12 """ 15 """
13 function boundary_restriction(grid, closure_stencil, boundary) 16 function boundary_restriction end
14 converted_stencil = convert(Stencil{eltype(grid)}, closure_stencil)
15 17
16 op = BoundaryOperator(restrict(grid, dim(boundary)), converted_stencil, region(boundary)) 18 function boundary_restriction(g::TensorGrid, stencil_set::StencilSet, boundary::TensorGridBoundary)
17 return LazyTensors.inflate(op, size(grid), dim(boundary)) 19 op = boundary_restriction(g.grids[grid_id(boundary)], stencil_set, boundary_id(boundary))
20 return LazyTensors.inflate(op, size(g), grid_id(boundary))
18 end 21 end
19 22
20 """ 23 function boundary_restriction(g::EquidistantGrid, stencil_set::StencilSet, boundary)
21 boundary_restriction(grid, stencil_set, boundary) 24 closure_stencil = parse_stencil(stencil_set["e"]["closure"])
22 25 converted_stencil = convert(Stencil{eltype(g)}, closure_stencil)
23 Creates a `boundary_restriction` operator on `grid` given a `stencil_set`. 26 return BoundaryOperator(g, converted_stencil, boundary)
24 """ 27 end
25 boundary_restriction(grid, stencil_set::StencilSet, boundary) = boundary_restriction(grid, parse_stencil(stencil_set["e"]["closure"]), boundary)