title: Phase retrieval and saddle-point optimization.
abstract: Iterative algorithms with feedback are among 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.
authors.affiliation: Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, California 94550-9234, USA. smarchesini@lbl.gov
authors.forename: Stefano
authors.initials: S
authors.lastname: Marchesini