I wonder how the techniques in this monograph stack up against optimization techniques on manifolds (https://press.princeton.edu/absil). Projected gradient descent seems like an approximation to steepest descent on a suitable manifold, so I would expect conjugate gradient or Newton methods to perform better in practice.