_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
julia-forwarddiff 0.10.36
Dependencies: julia-calculus@0.5.1 julia-difftests@0.1.1
Propagated dependencies: julia-calculus@0.5.1 julia-commonsubexpressions@0.3.0 julia-diffresults@1.0.3 julia-diffrules@1.15.1 julia-difftests@0.1.1 julia-logexpfunctions@0.3.17 julia-nanmath@0.3.7 julia-specialfunctions@1.8.7 julia-staticarrays@1.2.13
Channel: guix
Location: gnu/packages/julia-xyz.scm (gnu packages julia-xyz)
Home page: https://github.com/JuliaDiff/ForwardDiff.jl
Licenses: Expat
Synopsis: Methods to take multidimensional derivatives
Description:

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).

Total results: 1