matbesancon/MathOptSetDistances.jl

Should all projection gradient be square matrices?

matbesancon opened this issue · 1 comments

The projection gradient is d proj[i] / dv[j]. Given that the projection is of identical dimension as the initial point v, the Jacobian / gradient should be a square matrix (preferrably sparse).
ping @Aks1996

Done, now tested