Reverse-mode automatic differentiation for closed-form scalar algebraic expressions, producing gradients and Hessians. Efficient sparse Hessian computation is implemented by using state-of-the-art graph coloring approaches, written in pure Julia (see
src/coloring.jl). This package is primarily used by JuMP, and we recommend using JuMP as the easiest interface to access it.
about 2 months ago