annotate SbpOperators/src/laplace/secondderivative.jl @ 299:27a0bca5e1f2

Add apply_transpose and fix minor issues
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Tue, 23 Jun 2020 17:31:50 +0200
parents f63232aeb1c6
children f2d6ec89dfc5
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7247e85dc1e8 Start separating ConstantStencilOp into multiple 1D tensor mappings, e.g. ConstantLaplaceOp. Sketch an implementation of the multi-D laplace tensor operator as a tuple of 1D laplace tensor operators.
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1 """
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2 SecondDerivative{T<:Real,N,M,K} <: TensorOperator{T,1}
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3 Implements the Laplace tensor operator `L` with constant grid spacing and coefficients
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4 in 1D dimension
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5 """
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6 struct SecondDerivative{T<:Real,N,M,K} <: TensorOperator{T,1}
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7 h_inv::T # The grid spacing could be included in the stencil already. Preferable?
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8 innerStencil::Stencil{T,N}
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9 closureStencils::NTuple{M,Stencil{T,K}}
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10 parity::Parity
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11 #TODO: Write a nice constructor
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12 end
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7247e85dc1e8 Start separating ConstantStencilOp into multiple 1D tensor mappings, e.g. ConstantLaplaceOp. Sketch an implementation of the multi-D laplace tensor operator as a tuple of 1D laplace tensor operators.
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14 @enum Parity begin
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15 odd = -1
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16 even = 1
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17 end
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19 LazyTensors.domain_size(D2::SecondDerivative, range_size::NTuple{1,Integer}) = range_size
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20
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21 @inline function LazyTensors.apply(D2::SecondDerivative{T}, v::AbstractVector{T}, I::NTuple{1,Index}) where T
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22 return @inbounds apply(D2, v, I[1])
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23 end
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24
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25 function LazyTensors.apply_transpose(D2::SecondDerivative{T}, v::AbstractVector{T}, I::NTuple{1,Index}) where T = LazyTensors.apply(D2, v, I)
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27 # Apply for different regions Lower/Interior/Upper or Unknown region
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28 @inline function LazyTensors.apply(D2::SecondDerivative, v::AbstractVector, i::Index{Lower})
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29 return @inbounds D2.h_inv*D2.h_inv*apply_stencil(D2.closureStencils[Int(i)], v, Int(i))
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30 end
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32 @inline function LazyTensors.apply(D2::SecondDerivative, v::AbstractVector, i::Index{Interior})
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33 return @inbounds D2.h_inv*D2.h_inv*apply_stencil(D2.innerStencil, v, Int(i))
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34 end
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36 @inline function LazyTensors.apply(D2::SecondDerivative, v::AbstractVector, i::Index{Upper})
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37 N = length(v) # TODO: Use domain_size here instead?
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38 return @inbounds D2.h_inv*D2.h_inv*Int(D2.parity)*apply_stencil_backwards(D2.closureStencils[N-Int(i)+1], v, Int(i))
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39 end
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40
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41 @inline function LazyTensors.apply(D2::SecondDerivative, v::AbstractVector, index::Index{Unknown})
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42 N = length(v) # TODO: Use domain_size here instead?
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43 r = getregion(Int(index), closuresize(L), N)
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44 i = Index(Int(index), r)
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45 return apply(D2, v, i)
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46 end
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47
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48 function closuresize(D2::SecondDerivative{T<:Real,N,M,K}) where {T,N,M,K}
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49 return M
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50 end