Methods to take multidimensional derivatives
This package implements methods to take derivatives, gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable object, really) using forward mode automatic differentiation (AD).
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/4gdy0cx7x6k8p27kiam48wda80cfly5j-julia-forwarddiff-0.10.18.drv | ||
i686-linux | /gnu/store/810i6m4zycwyvcllbkg0g2dpz00b53z8-julia-forwarddiff-0.10.18.drv | ||
aarch64-linux | /gnu/store/1sf1q0w6cd9iazpad120sqf7jhp85dv4-julia-forwarddiff-0.10.18.drv |
Linter | Message | Location |
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tests-true Check if tests are explicitly enabled | #:tests? must not be explicitly set to #t |