I’m trying to compute all third partial derivatives of a function using ForwardDiff, but cannot get it to be type stable and I don’t understand why. Here is a minimal example: using ForwardDiff using StaticArrays function tf( x ) return ( exp( 0.1*x[1] + 0.2*x[2] ) ) end function get_derivati…

Type stability for higher derivatives in ForwardDiff

longemen3000 August 19, 2021, 10:07pm 3

Topic		Replies	Views
Gradient to jacobian in type stable way with ForwardDiff General Usage forwarddiff , type-stability	0	171	December 1, 2023
Type instability in ForwardDiff.gradient Numerics performance , forwarddiff , type-stability	8	1047	October 20, 2021
Type stable code with autodiff General Usage	2	134	July 29, 2023
Jacobian of StaticArray function becoming type-unstable Performance	3	663	December 28, 2018
Another Type Problem with ForwardDiff : TypeError: in typeassert, expected Float64, got a value of type ForwardDiff.Dual{Nothing, Float64, 1} New to Julia question , forwarddiff	2	940	March 7, 2022