Phase retrieval and saddle-point optimization
光学
2007-11-13 v5 最优化与控制
摘要
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.
引用
@article{arxiv.physics/0611233,
title = {Phase retrieval and saddle-point optimization},
author = {S. Marchesini},
journal= {arXiv preprint arXiv:physics/0611233},
year = {2007}
}
备注
8 pages, 4 figures, revtex