Merge pull request #17 from byuflowlab/BTV25-patch-1

Update eigenvalues.jl
byuflowlab · Jun 12, 2024 · 2a479ae · 2a479ae
2 parents 3550cb3 + 31f6c3a
commit 2a479ae
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diff --git a/docs/src/reference.md b/docs/src/reference.md
@@ -10,4 +10,4 @@ explicit_unsteady_cache
 implicit_unsteady
 implicit_unsteady_cache
 provide_rule
-```
+```
diff --git a/src/eigenvalues.jl b/src/eigenvalues.jl
@@ -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)