For a function f that maps from a Riemannian manifold ℳ onto the real line, we aim to solve

Minimizef(x) such that xM\text{Minimize}\quad f(x) \text{ such that } x \in \mathcal M

Manopt.jl provides a framework for optimization on manifolds. It follows the same ideology as Manopt and pymanopt. This toolbox aims to provide an easy access to optimization methods on manifolds for Julia, including example data and visualization methods.