{
  "abstract": "We introduce cvxgenrust, an open-source tool for generating custom Rust code that solves families of parameterized convex optimization problems modeled in CVXPY. cvxgenrust canonicalizes a problem family, extracts affine maps to Clarabel cone-program data, and generates a specialized Rust crate that updates parameters and calls Clarabel natively at runtime. The generated solver can also be exposed to Python and registered as a custom CVXPY solver. Our code generator supports a wide range of convex optimization problems up to semidefinite programs and exponential-cone problems. Numerical experiments show reduced runtime relative to direct CVXPY solves and performance comparable to CVXPYgen on shared problem classes.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.13875",
  "author_total": 2,
  "authors": [
    {
      "name": "Hao Zhu"
    },
    {
      "name": "Joschka Boedecker"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ac9j14g6qv8br.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.13875",
  "fulltext_url": null,
  "id": "ac9j14g6qv8br",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.13875",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.CE"
    ],
    [
      "arxiv",
      "cs.LG"
    ],
    [
      "arxiv",
      "cs.MS"
    ],
    [
      "arxiv",
      "math.OC"
    ],
    [
      "openalex",
      "2612|Advanced Optimization Algorithms Research"
    ]
  ],
  "openalex": "W7213232760",
  "pdf_url": "https://arxiv.org/pdf/2609.13875",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-12",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ac9j14g6qv8br.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:29Z",
      "native_id": "2609.13875",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.13875"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    }
  ],
  "title": "Generation of Custom Solvers in Rust for Convex Optimization",
  "title_text": "Generation of Custom Solvers in Rust for Convex Optimization",
  "type": "preprint",
  "updated_at": "2026-10-30T12:21:29Z",
  "url": "https://research.draconitic.com/paper/ac9j14g6qv8br",
  "venue": "arXiv",
  "versions": []
}