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make Diagonal+Symmetric return Symmetric #35333

Merged
merged 4 commits into from
Apr 6, 2020
Merged

make Diagonal+Symmetric return Symmetric #35333

merged 4 commits into from
Apr 6, 2020

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dkarrasch
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@dkarrasch dkarrasch added the linear algebra Linear algebra label Apr 1, 2020
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I thought I'll introduce a new methods for of type [+/-](A::AbstractMatrix, D::Diagonal) etc. where I simply copy A, and add/subtract D to/from the diagonal. This speeds up addition and subtraction a little bit. The Symmetric/Hermitian case then simply falls back to that, and wraps the result appropriately.

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dkarrasch commented Apr 2, 2020 •
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Ouch, that failed. I'll remove the new generic methods, and leave to the ecosystem handling of +(S.data, D) etc.

@dkarrasch dkarrasch requested a review from andreasnoack April 3, 2020 19:50
@andreasnoack andreasnoack merged commit e25b357 into master Apr 6, 2020
@andreasnoack andreasnoack deleted the dk/symhermdiag branch April 6, 2020 08:24
ravibitsgoa pushed a commit to ravibitsgoa/julia that referenced this pull request Apr 9, 2020
@dkarrasch @ravibitsgoa
make Diagonal+Symmetric return Symmetric (JuliaLang#35333)
816e984 
* make Diagonal+Symmetric return Symmetric

* introduce generic +/- AbstractMatrix with Diagonal

* fix typos in tests

* remove generic addition/subtraction with Diagonals
ztultrebor pushed a commit to ztultrebor/julia that referenced this pull request Apr 17, 2020
@dkarrasch @ztultrebor
make Diagonal+Symmetric return Symmetric (JuliaLang#35333)
bc2de36 
* make Diagonal+Symmetric return Symmetric

* introduce generic +/- AbstractMatrix with Diagonal

* fix typos in tests

* remove generic addition/subtraction with Diagonals
staticfloat pushed a commit that referenced this pull request Apr 21, 2020
@dkarrasch @staticfloat
make Diagonal+Symmetric return Symmetric (#35333)
f99bc6f 
* make Diagonal+Symmetric return Symmetric

* introduce generic +/- AbstractMatrix with Diagonal

* fix typos in tests

* remove generic addition/subtraction with Diagonals
@jishnub jishnub mentioned this pull request Jul 25, 2024
Merged
jishnub added a commit that referenced this pull request Jul 28, 2024
@jishnub
Restrict binary ops for Diagonal and Symmetric to Number eltypes (#55251
197295c 
)

The `(::Diagonal) + (::Symmetric)` and analogous methods were
specialized in #35333 to return a
`Symmetric`, but these only work if the `Diagonal` is also symmetric.
This typically holds for arrays of numbers, but may not hold for
block-diagonal and other types for which symmetry isn't guaranteed. This
PR restricts the methods to arrays of `Number`s.

Fixes, e.g.:
```julia
julia> using StaticArrays, LinearAlgebra

julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2))
2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}:
 [1 3; 2 4]      ⋅     
     ⋅       [1 3; 2 4]

julia> S = Symmetric(D)
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [1 3; 3 4]      ⋅     
     ⋅       [1 3; 3 4]

julia> S + D
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [2 6; 6 8]      ⋅     
     ⋅       [2 6; 6 8]

julia> S[1,1] + D[1,1]
2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2):
 2  6
 5  8

julia> (S + D)[1,1] == S[1,1] + D[1,1]
false
```
After this,
```julia
julia> S + D
2×2 Matrix{AbstractMatrix{Int64}}:
 [2 6; 5 8]  [0 0; 0 0]
 [0 0; 0 0]  [2 6; 5 8]
```

Even with `Number`s as elements, there might be an issue with `NaN`s
along the diagonal as `!issymmetric(NaN)`, but that may be a different
PR.
lazarusA pushed a commit to lazarusA/julia that referenced this pull request Aug 17, 2024
@jishnub @lazarusA
Restrict binary ops for Diagonal and Symmetric to Number eltypes (Jul…
696026e 
…iaLang#55251)

The `(::Diagonal) + (::Symmetric)` and analogous methods were
specialized in JuliaLang#35333 to return a
`Symmetric`, but these only work if the `Diagonal` is also symmetric.
This typically holds for arrays of numbers, but may not hold for
block-diagonal and other types for which symmetry isn't guaranteed. This
PR restricts the methods to arrays of `Number`s.

Fixes, e.g.:
```julia
julia> using StaticArrays, LinearAlgebra

julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2))
2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}:
 [1 3; 2 4]      ⋅     
     ⋅       [1 3; 2 4]

julia> S = Symmetric(D)
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [1 3; 3 4]      ⋅     
     ⋅       [1 3; 3 4]

julia> S + D
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [2 6; 6 8]      ⋅     
     ⋅       [2 6; 6 8]

julia> S[1,1] + D[1,1]
2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2):
 2  6
 5  8

julia> (S + D)[1,1] == S[1,1] + D[1,1]
false
```
After this,
```julia
julia> S + D
2×2 Matrix{AbstractMatrix{Int64}}:
 [2 6; 5 8]  [0 0; 0 0]
 [0 0; 0 0]  [2 6; 5 8]
```

Even with `Number`s as elements, there might be an issue with `NaN`s
along the diagonal as `!issymmetric(NaN)`, but that may be a different
PR.
KristofferC pushed a commit that referenced this pull request Aug 19, 2024
@jishnub
Restrict binary ops for Diagonal and Symmetric to Number eltypes (#55251
44fc535 
)

The `(::Diagonal) + (::Symmetric)` and analogous methods were
specialized in #35333 to return a
`Symmetric`, but these only work if the `Diagonal` is also symmetric.
This typically holds for arrays of numbers, but may not hold for
block-diagonal and other types for which symmetry isn't guaranteed. This
PR restricts the methods to arrays of `Number`s.

Fixes, e.g.:
```julia
julia> using StaticArrays, LinearAlgebra

julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2))
2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}:
 [1 3; 2 4]      ⋅
     ⋅       [1 3; 2 4]

julia> S = Symmetric(D)
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [1 3; 3 4]      ⋅
     ⋅       [1 3; 3 4]

julia> S + D
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [2 6; 6 8]      ⋅
     ⋅       [2 6; 6 8]

julia> S[1,1] + D[1,1]
2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2):
 2  6
 5  8

julia> (S + D)[1,1] == S[1,1] + D[1,1]
false
```
After this,
```julia
julia> S + D
2×2 Matrix{AbstractMatrix{Int64}}:
 [2 6; 5 8]  [0 0; 0 0]
 [0 0; 0 0]  [2 6; 5 8]
```

Even with `Number`s as elements, there might be an issue with `NaN`s
along the diagonal as `!issymmetric(NaN)`, but that may be a different
PR.

(cherry picked from commit 197295c)
KristofferC pushed a commit to JuliaLang/LinearAlgebra.jl that referenced this pull request Nov 14, 2024
@jishnub
Restrict binary ops for Diagonal and Symmetric to Number eltypes (#55…
8f8e944 
…251)

The `(::Diagonal) + (::Symmetric)` and analogous methods were
specialized in JuliaLang/julia#35333 to return a
`Symmetric`, but these only work if the `Diagonal` is also symmetric.
This typically holds for arrays of numbers, but may not hold for
block-diagonal and other types for which symmetry isn't guaranteed. This
PR restricts the methods to arrays of `Number`s.

Fixes, e.g.:
```julia
julia> using StaticArrays, LinearAlgebra

julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2))
2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}:
 [1 3; 2 4]      ⋅     
     ⋅       [1 3; 2 4]

julia> S = Symmetric(D)
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [1 3; 3 4]      ⋅     
     ⋅       [1 3; 3 4]

julia> S + D
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [2 6; 6 8]      ⋅     
     ⋅       [2 6; 6 8]

julia> S[1,1] + D[1,1]
2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2):
 2  6
 5  8

julia> (S + D)[1,1] == S[1,1] + D[1,1]
false
```
After this,
```julia
julia> S + D
2×2 Matrix{AbstractMatrix{Int64}}:
 [2 6; 5 8]  [0 0; 0 0]
 [0 0; 0 0]  [2 6; 5 8]
```

Even with `Number`s as elements, there might be an issue with `NaN`s
along the diagonal as `!issymmetric(NaN)`, but that may be a different
PR.
KristofferC pushed a commit that referenced this pull request Nov 22, 2024
@jishnub @KristofferC
Restrict binary ops for Diagonal and Symmetric to Number eltypes (#55251
30573be 
)

The `(::Diagonal) + (::Symmetric)` and analogous methods were
specialized in #35333 to return a
`Symmetric`, but these only work if the `Diagonal` is also symmetric.
This typically holds for arrays of numbers, but may not hold for
block-diagonal and other types for which symmetry isn't guaranteed. This
PR restricts the methods to arrays of `Number`s.

Fixes, e.g.:
```julia
julia> using StaticArrays, LinearAlgebra

julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2))
2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}:
 [1 3; 2 4]      ⋅
     ⋅       [1 3; 2 4]

julia> S = Symmetric(D)
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [1 3; 3 4]      ⋅
     ⋅       [1 3; 3 4]

julia> S + D
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [2 6; 6 8]      ⋅
     ⋅       [2 6; 6 8]

julia> S[1,1] + D[1,1]
2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2):
 2  6
 5  8

julia> (S + D)[1,1] == S[1,1] + D[1,1]
false
```
After this,
```julia
julia> S + D
2×2 Matrix{AbstractMatrix{Int64}}:
 [2 6; 5 8]  [0 0; 0 0]
 [0 0; 0 0]  [2 6; 5 8]
```

Even with `Number`s as elements, there might be an issue with `NaN`s
along the diagonal as `!issymmetric(NaN)`, but that may be a different
PR.

(cherry picked from commit 197295c)
KristofferC pushed a commit to JuliaLang/LinearAlgebra.jl that referenced this pull request Dec 2, 2024
@jishnub
Restrict binary ops for Diagonal and Symmetric to Number eltypes (#55…
ed79e3d 
…251)

The `(::Diagonal) + (::Symmetric)` and analogous methods were
specialized in JuliaLang/julia#35333 to return a
`Symmetric`, but these only work if the `Diagonal` is also symmetric.
This typically holds for arrays of numbers, but may not hold for
block-diagonal and other types for which symmetry isn't guaranteed. This
PR restricts the methods to arrays of `Number`s.

Fixes, e.g.:
```julia
julia> using StaticArrays, LinearAlgebra

julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2))
2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}:
 [1 3; 2 4]      ⋅
     ⋅       [1 3; 2 4]

julia> S = Symmetric(D)
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [1 3; 3 4]      ⋅
     ⋅       [1 3; 3 4]

julia> S + D
2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}:
 [2 6; 6 8]      ⋅
     ⋅       [2 6; 6 8]

julia> S[1,1] + D[1,1]
2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2):
 2  6
 5  8

julia> (S + D)[1,1] == S[1,1] + D[1,1]
false
```
After this,
```julia
julia> S + D
2×2 Matrix{AbstractMatrix{Int64}}:
 [2 6; 5 8]  [0 0; 0 0]
 [0 0; 0 0]  [2 6; 5 8]
```

Even with `Number`s as elements, there might be an issue with `NaN`s
along the diagonal as `!issymmetric(NaN)`, but that may be a different
PR.

(cherry picked from commit 197295c84aab217bffde01a4339f1d0e8e95fb98)
(cherry picked from commit 44fc53552c0a3bf7528af998ebd239f1edc2e78d)
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Diagonal + Symmetric should be Symmetric not Matrix
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@dkarrasch @andreasnoack