Phase retrieval and saddle-point optimization

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dc.creatorMarchesini, S.
dc.date2006-11-24
dc.date2007-06-07
dc.date.accessioned2026-07-07T08:42:02Z
dc.date.available2026-07-07T08:42:02Z
dc.descriptionIterative 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.
dc.description8 pages, 4 figures, revtex
dc.identifierhttps://arxiv.org/abs/physics/0611233
dc.identifierhttp://arxiv.org/abs/physics/0611233
dc.identifierJ. Opt. Soc. Am. A 24, 3289-3296 (2007)
dc.identifierdoi:10.1364/JOSAA.24.003289
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/141858
dc.subjectOptics
dc.subjectOptimization and Control
dc.titlePhase retrieval and saddle-point optimization
dc.typetext

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