dorsal/arxiv
View SchemaPhase retrieval and saddle-point optimization
| Authors | S. Marchesini |
|---|---|
| Categories | |
| ArXiv ID | physics/0611233 |
| URL | https://arxiv.org/abs/physics/0611233 |
| DOI | 10.1364/JOSAA.24.003289 |
| Journal | J. Opt. Soc. Am. A 24, 3289-3296 (2007) |
Abstract
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.
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"abstract": "Iterative algorithms with feedback are amongst the most powerful and\nversatile optimization methods for phase retrieval. Among these, the hybrid\ninput-output algorithm has demonstrated practical solutions to giga-element\nnonlinear phase retrieval problems, escaping local minima and producing images\nat resolutions beyond the capabilities of lens-based optical methods. Here, the\ninput-output iteration is improved by a lower dimensional subspace saddle-point\noptimization.",
"arxiv_id": "physics/0611233",
"authors": [
"S. Marchesini"
],
"categories": [
"physics.optics",
"math.OC"
],
"doi": "10.1364/JOSAA.24.003289",
"journal_ref": "J. Opt. Soc. Am. A 24, 3289-3296 (2007)",
"title": "Phase retrieval and saddle-point optimization",
"url": "https://arxiv.org/abs/physics/0611233"
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