{
  "annotation_id": "8c7b0218-6554-43ad-883d-935502b52ee2",
  "date_created": "2026-03-02T18:01:14.584000Z",
  "date_modified": "2026-03-02T18:01:14.584000Z",
  "file_hash": "1cc177419a4f61b475e9ae298a5d676005b680de9cb42523da5f125da67fc645",
  "private": false,
  "record": {
    "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"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "96fc8702-e46f-4ce7-b4ce-799b1bba1ca6",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}