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 |
---|---|---|---|
x86_64-linux | /gnu/store/k4mrvkp05m0967nn0j6x7b8s1pbybddy-julia-forwarddiff-0.10.18.drv | ||
i686-linux | /gnu/store/19kf1n5a349lj6id9rlcgxnc03wfzfch-julia-forwarddiff-0.10.18.drv | ||
aarch64-linux | /gnu/store/qpgyfp3vsjjnhh1zmq45snbp8d6jafyj-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 |