We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
implement normals in Descartes.
normals
julia> using Descartes julia> using ForwardDiff julia> p = Circle(1.0) julia> ForwardDiff.gradient(f,[1,0]) 2-element Vector{Float64}: 1.0 0.0
can switch to FiniteDiff if ForwardDiff/Zygote doesn't play well with max type operations
FiniteDiff
ForwardDiff
Zygote
max
The text was updated successfully, but these errors were encountered:
This is on master now
Sorry, something went wrong.
No branches or pull requests
implement
normals
in Descartes.can switch to
FiniteDiff
ifForwardDiff
/Zygote
doesn't play well withmax
type operationsThe text was updated successfully, but these errors were encountered: