Mercurial > repos > public > sbplib_julia
diff SbpOperators/src/laplace/secondderivative.jl @ 328:9cc5d1498b2d
Refactor 1D diagonal inner product in quadrature.jl to separate file. Write tests for quadratures. Clean up laplace and secondderivative
author | Vidar Stiernström <vidar.stiernstrom@it.uu.se> |
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date | Thu, 24 Sep 2020 22:31:48 +0200 |
parents | f2d6ec89dfc5 |
children |
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--- a/SbpOperators/src/laplace/secondderivative.jl Thu Sep 24 21:42:54 2020 +0200 +++ b/SbpOperators/src/laplace/secondderivative.jl Thu Sep 24 22:31:48 2020 +0200 @@ -20,32 +20,26 @@ # I thought I::Vararg{Index,R} fell back to just Index for R = 1 # Apply for different regions Lower/Interior/Upper or Unknown region -@inline function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index{Lower}) where T +function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index{Lower}) where T return @inbounds D2.h_inv*D2.h_inv*apply_stencil(D2.closureStencils[Int(I)], v, Int(I)) end -@inline function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index{Interior}) where T +function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index{Interior}) where T return @inbounds D2.h_inv*D2.h_inv*apply_stencil(D2.innerStencil, v, Int(I)) end -@inline function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index{Upper}) where T +function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index{Upper}) where T N = length(v) # TODO: Use domain_size here instead? N = domain_size(D2,size(v)) return @inbounds D2.h_inv*D2.h_inv*Int(D2.parity)*apply_stencil_backwards(D2.closureStencils[N-Int(I)+1], v, Int(I)) end -@inline function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, index::Index{Unknown}) where T +function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, index::Index{Unknown}) where T N = length(v) # TODO: Use domain_size here instead? r = getregion(Int(index), closuresize(D2), N) I = Index(Int(index), r) return LazyTensors.apply(D2, v, I) end - -@inline function LazyTensors.apply_transpose(D2::SecondDerivative, v::AbstractVector, I::Index) - return LazyTensors.apply(D2, v, I) -end +LazyTensors.apply_transpose(D2::SecondDerivative{T}, v::AbstractVector{T}, I::Index) where {T} = LazyTensors.apply(D2, v, I) - -function closuresize(D2::SecondDerivative{T,N,M,K}) where {T<:Real,N,M,K} - return M -end +closuresize(D2::SecondDerivative{T,N,M,K}) where {T<:Real,N,M,K} = M