Comments (1)
KristofferC
commented on June 1, 2024
ForwardDiff has a custom number type D and claims that d::D + x should be evaluated as d + D(x).
Symbolics has a custom number type N and claims that n::N + x should be evaluated as n + N(x).
The question now is, what should d + n evaluate to? Without cooperation between ForwardDiff and Symbolics, there is no way to tell. Could maybe be added as an extension?
from forwarddiff.jl.
Related Issues (20)
- Cancellation with sparse arrays HOT 5
- Implement hessian! for scalar x
- Implement gammalogccdf for ForwardDiff HOT 1
- `ForwardDiff.jacobian` throws error for `fft` HOT 1
- Correctly forming nested dual numbers. HOT 8
- Derivative of a function of derivatives HOT 7
- Support derivative(f, ::Complex) HOT 1
- `ForwardDiff` fails to compute correct derivative HOT 3
- Incorrect Hessian by `exp` function HOT 1
- Method ambiguities reported by Aqua HOT 3
- Document internals? HOT 1
- Bug (NaNs) when differentiating eigenvectors of Symmetric matrices
- Error requiring `Symbolics` from `Optimization` HOT 1
- promote_rule ambiguity with AbstractIrrational and ForwardDiff.Dual HOT 2
- Allocation tests broken since Julia 1.9
- LoadError: ArgumentError: Package AdaptStaticArraysCoreExt does not have Adapt in its dependencies: HOT 2
- Working with anonymous functions HOT 2
- DiffResults objects are not re-aliased properly HOT 2
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from forwarddiff.jl.