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/y5139mrgj1zsccslikqkhkvj7yzxp9lk-julia-forwarddiff-0.10.18.drv | ||
| i686-linux | /gnu/store/chaksnv7q014fwz3vjxa1r2y94yq2r48-julia-forwarddiff-0.10.18.drv | ||
| aarch64-linux | /gnu/store/l5adm9zclq8w4y9fgdds71drlsl9m6z3-julia-forwarddiff-0.10.18.drv |
| Linter | Message | Location |
|---|---|---|
| tests-true Check if tests are explicitly enabled | #:tests? must not be explicitly set to #t |