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https://github.com/JuliaDiff/FiniteDifferences.jl?tab=readme-ov-file#dealing-with-numerical-noise
This could be more robust than using AutoFiniteDiff, especially since the absstep in AutoFiniteDiff is not respected: JuliaDiff/DifferentiationInterface.jl#811
AutoFiniteDiff
absstep
Another good alternative could be to use AutoForwardDiff, although performance might be bad because of the nonlinear solver iterations.
AutoForwardDiff
The text was updated successfully, but these errors were encountered:
The absstep bug is fixed in DI's latest release v0.7.1
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Not necessary to implement this then, AutoFiniteDiff works well.
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https://github.com/JuliaDiff/FiniteDifferences.jl?tab=readme-ov-file#dealing-with-numerical-noise
This could be more robust than using
AutoFiniteDiff
, especially since theabsstep
in AutoFiniteDiff is not respected: JuliaDiff/DifferentiationInterface.jl#811Another good alternative could be to use
AutoForwardDiff
, although performance might be bad because of the nonlinear solver iterations.The text was updated successfully, but these errors were encountered: