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hessian_sparsity
Due to unknown linearity
ERROR: Failed to apply rule (~f)(~(x::isidx)) => if haslinearity_1(~f) #= /home/fredrikb/.julia/packages/Symbolics/J8IHJ/src/diff.jl:586 =# combine_terms_1(linearity_1(~f), ~x) else #= /home/fredrikb/.julia/packages/Symbolics/J8IHJ/src/diff.jl:588 =# error("Function of unknown linearity used: ", ~f) end on expression Base.FastMath.exp_fast(Symbolics.TermCombination(Set([Dict(139 => 1), Dict(139 => 2)])))
How would one go about registering the derivative for a function as well?
The text was updated successfully, but these errors were encountered:
Add test for JuliaSymbolics#749
3185d30
Successfully merging a pull request may close this issue.
Due to unknown linearity
How would one go about registering the derivative for a function as well?
The text was updated successfully, but these errors were encountered: