{
  "abstract": "Solution of convection-dominated problems using stabilized methods often requires to specify stabilization parameters whose optimal choice is not known but which considerably influence the quality of the approximate solution. In a recent work of the authors, an approach for computing these parameters by machine learning was proposed and applied to the streamline upwind/Petrov-Galerkin (SUPG) method for convection-diffusion equations. In the present paper, this approach is studied numerically for unstructured meshes and extended to meshes obtained by anisotropic mesh adaptation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.32358",
  "author_total": 2,
  "authors": [
    {
      "name": "Petr Knobloch"
    },
    {
      "name": "Manoj Prakash"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bxn0yqbykbc8n.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.32358",
  "fulltext_url": null,
  "id": "bxn0yqbykbc8n",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.32358",
  "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.NA"
    ],
    [
      "arxiv",
      "math.NA"
    ],
    [
      "openalex",
      "2206|Advanced Numerical Methods in Computational Mathematics"
    ]
  ],
  "openalex": "W7214725493",
  "pdf_url": "https://arxiv.org/pdf/2609.32358",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bxn0yqbykbc8n.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:17Z",
      "native_id": "2609.32358",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.32358"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.NA",
      "subfield": "numerical-analysis"
    }
  ],
  "title": "Application of Machine Learning to the Computation of Parameters in the SUPG Method for Unstructured and Anisotropic Meshes",
  "title_text": "Application of Machine Learning to the Computation of Parameters in the SUPG Method for Unstructured and Anisotropic Meshes",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:17Z",
  "url": "https://research.draconitic.com/paper/bxn0yqbykbc8n",
  "venue": "arXiv",
  "versions": []
}