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Extrapolation objects should, but I'm not sure how well-tested the implementation is for the combination of extrapolation and >1D.
For reference, here's the full stack trace:
UndefVarError: d not defined
Stacktrace:
[1] macro expansion at /home/jrun/.julia/v0.6/Interpolations/src/extrapolation/periodic.jl:23 [inlined]
[2] macro expansion at /home/jrun/.julia/v0.6/Interpolations/src/extrapolation/extrap_prep_gradient.jl:49 [inlined]
[3] macro expansion at /home/jrun/.julia/v0.6/Interpolations/src/extrapolation/extrapolation.jl:74 [inlined]
[4] gradient! at /home/jrun/.julia/v0.6/Interpolations/src/extrapolation/extrapolation.jl:81 [inlined]
[5] gradient(::Interpolations.Extrapolation{Float64,1,Interpolations.ScaledInterpolation{Float64,1,Interpolations.BSplineInterpolation{Float64,1,Array{Float64,1},Interpolations.BSpline{Interpolations.Cubic{Interpolations.Periodic}},Interpolations.OnGrid,0},Interpolations.BSpline{Interpolations.Cubic{Interpolations.Periodic}},Interpolations.OnGrid,Tuple{UnitRange{Int64}}},Interpolations.BSpline{Interpolations.Cubic{Interpolations.Periodic}},Interpolations.OnGrid,Interpolations.Periodic}, ::Float64, ::Float64) at /home/jrun/.julia/v0.6/Interpolations/src/b-splines/indexing.jl:110
The following minimal working example fails for me very cryptically:
I get an error beginning with
Do extrapolation objects support computing gradients?
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