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Update eigenvalues.jl #17

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Jun 12, 2024
Merged

Update eigenvalues.jl #17

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0f9e6aa
Update eigenvalues.jl
BTV25 Jun 11, 2024
2d39726
Update reference.md
BTV25 Jun 11, 2024
31f6c3a
Update reference.md
BTV25 Jun 12, 2024
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2 changes: 1 addition & 1 deletion docs/src/reference.md
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Original file line number Diff line number Diff line change
Expand Up @@ -10,4 +10,4 @@ explicit_unsteady_cache
implicit_unsteady
implicit_unsteady_cache
provide_rule
```
```
6 changes: 3 additions & 3 deletions src/eigenvalues.jl
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Expand Up @@ -20,9 +20,9 @@ Make eigenvalue problems AD compatible with ForwardDiff and ReverseDiff
implicit_eigval(A, B, eigsolve) = eigsolve(A, B)[1] # If no AD, just solve normally. Returns only eigenvalue.

# forward cases
implicit_eigval(A::AbstractArray{<:ForwardDiff.Dual{T}}, B::AbstractArray{<:ForwardDiff.Dual{T}}, eigsolve) where {T} = eigval_fwd(A, B, eigsolve)
implicit_eigval(A, B::AbstractArray{<:ForwardDiff.Dual{T}}, eigsolve) where {T} = eigval_fwd(A, B, eigsolve)
implicit_eigval(A::AbstractArray{<:ForwardDiff.Dual{T}}, B, eigsolve) where {T} = eigval_fwd(A, B, eigsolve)
implicit_eigval(A::AbstractArray{<:ForwardDiff.Dual}, B::AbstractArray{<:ForwardDiff.Dual}, eigsolve) = eigval_fwd(A, B, eigsolve)
implicit_eigval(A, B::AbstractArray{<:ForwardDiff.Dual}, eigsolve) = eigval_fwd(A, B, eigsolve)
implicit_eigval(A::AbstractArray{<:ForwardDiff.Dual}, B, eigsolve) = eigval_fwd(A, B, eigsolve)

# reverse cases
implicit_eigval(A::Union{ReverseDiff.TrackedArray, AbstractArray{<:ReverseDiff.TrackedReal}}, B::Union{ReverseDiff.TrackedArray, AbstractArray{<:ReverseDiff.TrackedReal}}, eigsolve) = eigval_rev(A, B, eigsolve)
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