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annotate src/SbpOperators/quadrature/inverse_quadrature.jl @ 344:f781d6da7d3d refactor/combine_to_one_package

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Merge and reactivate includes in SbpOperators.jl
author Jonatan Werpers <jonatan@werpers.com>
date Fri, 25 Sep 2020 14:19:15 +0200
parents 01b851161018
children 0844069ab5ff
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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408c37b295c2 Refactor 1D tensor mapping in inverse quadrature to separate file, InverseDiagonalNorm. Add tests
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
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1 export InverseQuadrature
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6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
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2 """
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Vidar Stiernström <vidar.stiernstrom@it.uu.se>
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3 InverseQuadrature{Dim,T<:Real,M,K} <: TensorMapping{T,Dim,Dim}
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4
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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5 Implements the inverse quadrature operator `Qi` of Dim dimension as a TensorOperator
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408c37b295c2 Refactor 1D tensor mapping in inverse quadrature to separate file, InverseDiagonalNorm. Add tests
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents: 328
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6 The multi-dimensional tensor operator consists of a tuple of 1D InverseDiagonalInnerProduct
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6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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7 tensor operators.
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
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parents:
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8 """
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408c37b295c2 Refactor 1D tensor mapping in inverse quadrature to separate file, InverseDiagonalNorm. Add tests
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents: 328
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9 struct InverseQuadrature{Dim,T<:Real,M} <: TensorOperator{T,Dim}
408c37b295c2 Refactor 1D tensor mapping in inverse quadrature to separate file, InverseDiagonalNorm. Add tests
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parents: 328
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10 Hi::NTuple{Dim,InverseDiagonalInnerProduct{T,M}}
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Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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11 end
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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12
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bd09d67ebb22 Fix type errors in InverseQuadrature
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
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13 LazyTensors.domain_size(Qi::InverseQuadrature{Dim}, range_size::NTuple{Dim,Integer}) where Dim = range_size
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parents:
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15 function LazyTensors.apply(Qi::InverseQuadrature{Dim,T}, v::AbstractArray{T,Dim}, I::Vararg{Index,Dim}) where {T,Dim}
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parents:
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16 error("not implemented")
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
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17 end
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
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19 @inline function LazyTensors.apply(Qi::InverseQuadrature{1,T}, v::AbstractVector{T}, I::Index) where T
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20 @inbounds q = apply(Qi.Hi[1], v , I)
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Vidar Stiernström <vidar.stiernstrom@it.uu.se>
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21 return q
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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22 end
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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23
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24 @inline function LazyTensors.apply(Qi::InverseQuadrature{2,T}, v::AbstractArray{T,2}, I::Index, J::Index) where T
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25 # InverseQuadrature in x direction
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26 @inbounds vx = view(v, :, Int(J))
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27 @inbounds qx_inv = apply(Qi.Hi[1], vx , I)
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28 # InverseQuadrature in y-direction
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29 @inbounds vy = view(v, Int(I), :)
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30 @inbounds qy_inv = apply(Qi.Hi[2], vy, J)
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6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
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31 return qx_inv*qy_inv
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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32 end
6fa2ba769ae3 Create 1D tensor mapping for inverse diagonal norm, and make the multi-dimensional inverse quadrature use those. Move InverseQudrature from laplace.jl into InverseQuadrature.jl
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents:
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33
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408c37b295c2 Refactor 1D tensor mapping in inverse quadrature to separate file, InverseDiagonalNorm. Add tests
Vidar Stiernström <vidar.stiernstrom@it.uu.se>
parents: 328
diff changeset
34 LazyTensors.apply_transpose(Qi::InverseQuadrature{Dim,T}, v::AbstractArray{T,Dim}, I::Vararg{Index,Dim}) where {Dim,T} = LazyTensors.apply(Qi,v,I...)