Sat, 04 Dec 2021 08:57:12 +0200
Update metadata to Julia 1.7 format
20 | 1 | ######################################################## |
2 | # Abstract Hilbert space linear operators. Does not set | |
3 | # any limits on the input and output data types unlike | |
4 | # the package LinearOperators. | |
5 | ######################################################## | |
6 | ||
7 | __precompile__() | |
8 | ||
9 | module LinOps | |
10 | ||
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11 | export LinOp, IdOp, AdjointOp, AdjointableOp, MatrixOp, |
20 | 12 | calc_adjoint, calc_adjoint!, inplace!, |
13 | opnorm_estimate | |
14 | ||
15 | # General type | |
16 | ||
17 | abstract type LinOp{X, Y} end | |
18 | ||
19 | function inplace!(y::Y, op::LinOp{X,Y}, x::X) where {X, Y} | |
20 | y .= op(x) | |
21 | end | |
22 | ||
23 | # Adjoint operator for operators that define calc_adjoint and calc_adjoint! | |
24 | ||
25 | abstract type AdjointableOp{X, Y} <: LinOp{X,Y} end | |
26 | ||
27 | struct AdjointOp{X,Y,T<:AdjointableOp{X,Y}} <: LinOp{Y,X} | |
28 | op :: T | |
29 | end | |
30 | ||
31 | function Base.adjoint(op::T) where {X, Y, T<:AdjointableOp{X,Y}} | |
32 | return AdjointOp{X,Y,T}(op) | |
33 | end | |
34 | ||
35 | function Base.adjoint(adj::AdjointOp{X,Y,T}) where {X, Y, T<:AdjointableOp{X,Y}} | |
36 | return adj.op | |
37 | end | |
38 | ||
39 | function (adj::AdjointOp{X,Y,T})(y::Y) where {X, Y, T<:AdjointableOp{X,Y}} | |
40 | calc_adjoint(adj, y) | |
41 | end | |
42 | ||
43 | function inplace!(x::X, adj::AdjointOp{X,Y,T}, y::Y) where {X, Y, T<:AdjointableOp{X,Y}} | |
44 | calc_adjoint!(x, adj.op, y) | |
45 | end | |
46 | ||
47 | function calc_adjoint(op::T, y::Y) where {X, Y, T<:AdjointableOp{X,Y}} | |
48 | @error "unimplemented" | |
49 | end | |
50 | ||
51 | function calc_adjoint!(x::X, adj::T, y::Y) where {X, Y, T<:AdjointableOp{X,Y}} | |
52 | x .= calc_adjoint(adj, y) | |
53 | end | |
54 | ||
55 | function opnorm_estimate(adj::AdjointOp{X,Y,T}) where {X, Y, T<:AdjointableOp{X,Y}} | |
56 | return opnorm_estimate(adj.op) | |
57 | end | |
58 | ||
59 | # Identity operator | |
60 | ||
61 | struct IdOp{X} <: LinOp{X,X} | |
62 | end | |
63 | ||
64 | function (op::IdOp{X})(x::X) where X | |
65 | return x | |
66 | end | |
67 | ||
68 | function Base.adjoint(op::IdOp{X}) where X | |
69 | return op | |
70 | end | |
71 | ||
72 | function opnorm_estimate(op::IdOp{X}) where X | |
73 | return 1 | |
74 | end | |
75 | ||
76 | # Matrix operator | |
77 | ||
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78 | struct MatrixOp{T<:Real} <: LinOp{Vector{T}, Vector{T}} |
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79 | m :: AbstractMatrix{T} |
20 | 80 | end |
81 | ||
82 | function (op::MatrixOp{T})(v::Vector{T}) where T | |
83 | return op.m*v | |
84 | end | |
85 | ||
86 | function Base.adjoint(op::MatrixOp{T}) where T | |
87 | return MatrixOp(op.m') | |
88 | end | |
89 | ||
90 | function opnorm_estimate(op::MatrixOp{T}) where T | |
91 | return opnorm(op.m, 2) | |
92 | end | |
93 | ||
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94 | function Base.:+(a::MatrixOp{T}, b::MatrixOp{T}) where T |
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95 | return MatrixOp(a.m+b.m) |
20 | 96 | end |
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97 | |
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98 | function Base.:-(a::MatrixOp{T}, b::MatrixOp{T}) where T |
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99 | return MatrixOp(a.m-b.m) |
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100 | end |
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101 | |
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102 | function Base.:*(a::MatrixOp{T}, b::MatrixOp{T}) where T |
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103 | return MatrixOp(a.m*b.m) |
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104 | end |
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105 | |
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106 | end |