  Iterative algorithms with feedback are amongst the most powerful and
versatile optimization methods for phase retrieval. Among these, the hybrid
input-output algorithm has demonstrated practical solutions to giga-element
nonlinear phase retrieval problems, escaping local minima and producing images
at resolutions beyond the capabilities of lens-based optical methods. Here, the
input-output iteration is improved by a lower dimensional subspace saddle-point
optimization.
