gdalle/ImplicitDifferentiation.jl

Automatic differentiation of implicit functions

Juliamachine-learningjuliaautomatic-differentiationautodiff
This is stars and forks stats for /gdalle/ImplicitDifferentiation.jl repository. As of 29 Mar, 2024 this repository has 105 stars and 6 forks.

ImplicitDifferentiation.jl ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings $$x \in \mathbb{R}^n \longmapsto y(x) \in \mathbb{R}^m$$ whose output is defined by conditions $$c(x,y(x)) = 0 \in \mathbb{R}^m$$ Background Implicit differentiation is useful to differentiate through two types of functions: Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls...
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