math.NA · 2026-06-10 · No. 19

Numerical Analysis, 2026-06-10.

1 new papers in math.NA. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation

    Anirudh Kalyan, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Somdatta Goswami, Sundararajan Natarajan

    math.NA · cs.AI · cs.LG

    Generating high-quality meshes for arbitrary geometries remains a fundamental bottleneck in computational engineering, often demanding heuristic tuning and semi-manual workflows. In this paper, we introduce Dmsh, a first fully automated reinforcement learning pipeline that unifies geometric decomposition and quadrilateral mesh generation within a single learning-based framework. Dmsh decomposes the problem through three coordinated agents...

    arxiv.org/abs/2606.10601 · PDF

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