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WIP solving #174 #175

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2 changes: 2 additions & 0 deletions src/Tensors.jl
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Expand Up @@ -4,6 +4,8 @@ module Tensors

import Base.@pure

import ForwardDiff: Dual, partials, value, Tag

import Statistics
using Statistics: mean
using LinearAlgebra
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2 changes: 0 additions & 2 deletions src/automatic_differentiation.jl
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@@ -1,5 +1,3 @@
import ForwardDiff: Dual, partials, value, Tag

@static if isdefined(LinearAlgebra, :gradient)
import LinearAlgebra.gradient
end
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6 changes: 5 additions & 1 deletion src/eigen.jl
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@@ -1,3 +1,7 @@
# Support functions
get_max_iterations(::Type{T}) where{T} = 2 * (1 + precision(T) - exponent(floatmin(T)))
get_max_iterations(::Type{T}) where{T<:Dual{TT,VT}} where{TT,VT} = get_max_iterations(VT)

# MIT License: Copyright (c) 2016: Andy Ferris.
# See LICENSE.md for further licensing test

Expand Down Expand Up @@ -134,7 +138,7 @@ function LinearAlgebra.eigen(R::SymmetricTensor{2,3,T′}) where T′
b22 = a22

# Givens reflections, B' = G^T * B * G, preserve tridiagonal matrices
max_iteration = 2 * (1 + precision(T) - exponent(floatmin(T)))
max_iteration = get_max_iterations(T)

if abs(b12) <= abs(b01)
saveB00, saveB01, saveB11 = b00, b01, b11
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