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Sep 25, 2021
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31 changes: 17 additions & 14 deletions stdlib/LinearAlgebra/src/diagonal.jl
Original file line number Diff line number Diff line change
Expand Up @@ -317,8 +317,9 @@ function mul!(C::AbstractMatrix, Da::Diagonal, Db::Diagonal, alpha::Number, beta
return C
end

(/)(A::AbstractVecOrMat, D::Diagonal) =
_rdiv!(similar(A, promote_op(/, eltype(A), eltype(D))), A, D)
_promote_dotop(f, args...) = promote_op(f, eltype.(args)...)

/(A::AbstractVecOrMat, D::Diagonal) = _rdiv!(similar(A, _promote_dotop(/, A, D), size(A)), A, D)

rdiv!(A::AbstractVecOrMat, D::Diagonal) = _rdiv!(A, A, D)
# avoid copy when possible via internal 3-arg backend
Expand All @@ -338,21 +339,10 @@ function _rdiv!(B::AbstractVecOrMat, A::AbstractVecOrMat, D::Diagonal)
end
B
end
# Optimization for Diagonal / Diagonal
function _rdiv!(Dc::Diagonal, Db::Diagonal, Da::Diagonal)
n, k = length(Db.diag), length(Db.diag)
n == k || throw(DimensionMismatch("left hand side has $n columns but D is $k by $k"))
j = findfirst(iszero, Da.diag)
isnothing(j) || throw(SingularException(j))
Dc.diag .= Db.diag ./ Da.diag
Dc
end

(\)(D::Diagonal, B::AbstractVecOrMat) =
ldiv!(similar(B, promote_op(\, eltype(D), eltype(B))), D, B)
\(D::Diagonal, B::AbstractVecOrMat) = ldiv!(similar(B, _promote_dotop(\, D, B), size(B)), D, B)

ldiv!(D::Diagonal, B::AbstractVecOrMat) = ldiv!(B, D, B)
ldiv!(Dc::Diagonal, Da::Diagonal, Db::Diagonal) = Diagonal(ldiv!(Dc.diag, Da, Db.diag))
function ldiv!(B::AbstractVecOrMat, D::Diagonal, A::AbstractVecOrMat)
require_one_based_indexing(A, B)
d = length(D.diag)
Expand All @@ -365,6 +355,19 @@ function ldiv!(B::AbstractVecOrMat, D::Diagonal, A::AbstractVecOrMat)
B .= D.diag .\ A
end

# Optimizations for \, / between Diagonals
\(D::Diagonal, B::Diagonal) = ldiv!(similar(B, _promote_dotop(\, D, B)), D, B)
/(A::Diagonal, D::Diagonal) = _rdiv!(similar(A, _promote_dotop(/, A, D)), A, D)
function _rdiv!(Dc::Diagonal, Db::Diagonal, Da::Diagonal)
n, k = length(Db.diag), length(Db.diag)
n == k || throw(DimensionMismatch("left hand side has $n columns but D is $k by $k"))
j = findfirst(iszero, Da.diag)
isnothing(j) || throw(SingularException(j))
Dc.diag .= Db.diag ./ Da.diag
Dc
end
ldiv!(Dc::Diagonal, Da::Diagonal, Db::Diagonal) = Diagonal(ldiv!(Dc.diag, Da, Db.diag))

# (l/r)mul!, l/rdiv!, *, / and \ Optimization for AbstractTriangular.
# These functions are generally more efficient if we calculate the whole data field.
# The following code implements them in a unified patten to avoid missing.
Expand Down
4 changes: 2 additions & 2 deletions stdlib/LinearAlgebra/test/diagonal.jl
Original file line number Diff line number Diff line change
Expand Up @@ -204,8 +204,8 @@ Random.seed!(1)
@test D2*D' ≈ Array(D2)*Array(D)'

#division of two Diagonals
@test D/D2 ≈ Diagonal(D.diag./D2.diag)
@test D\D2 ≈ Diagonal(D2.diag./D.diag)
@test (D/D2)::Diagonal ≈ Diagonal(D.diag./D2.diag)
@test (D\D2)::Diagonal ≈ Diagonal(D2.diag./D.diag)

# QR \ Diagonal
A = rand(elty, n, n)
Expand Down
6 changes: 2 additions & 4 deletions stdlib/LinearAlgebra/test/hessenberg.jl
Original file line number Diff line number Diff line change
Expand Up @@ -90,12 +90,10 @@ let n = 10
@testset "Multiplication/division" begin
for x = (5, 5I, Diagonal(d), Bidiagonal(d,dl,:U),
UpperTriangular(A), UnitUpperTriangular(A))
@test H*x == Array(H)*x broken = eltype(H) <: Furlong && x isa Bidiagonal
@test x*H == x*Array(H) broken = eltype(H) <: Furlong && x isa Bidiagonal
@test (H*x)::UpperHessenberg == Array(H)*x broken = eltype(H) <: Furlong && x isa Bidiagonal
@test (x*H)::UpperHessenberg == x*Array(H) broken = eltype(H) <: Furlong && x isa Bidiagonal
@test H/x == Array(H)/x broken = eltype(H) <: Furlong && x isa Union{Bidiagonal, UpperTriangular}
@test x\H == x\Array(H) broken = eltype(H) <: Furlong && x isa Union{Bidiagonal, UpperTriangular}
@test H*x isa UpperHessenberg broken = eltype(H) <: Furlong && x isa Bidiagonal
@test x*H isa UpperHessenberg broken = eltype(H) <: Furlong && x isa Bidiagonal
@test H/x isa UpperHessenberg broken = eltype(H) <: Furlong && x isa Bidiagonal
@test x\H isa UpperHessenberg broken = eltype(H) <: Furlong && x isa Bidiagonal
end
Expand Down