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Phase retrieval and saddle-point optimization

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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.

© 2007 Optical Society of America

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