math.OC · 2026-08-31 · No. 101

Optimization and Control, 2026-08-31.

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

01 — The papers

2 entries
  1. 01

    Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

    Chuhan Yang, Chenxi Wang, Linhan Wu, Yuyang Liu

    math.OC · cs.LG

    Early discovery of at least one valid design satisfying a target requirement is a central objective in failure-prone closed-loop inverse design. A natural batch baseline ranks candidates by a product-form marginal valid-hit score, but selecting the highest-ranked candidates independently can produce redundant recommendations under predictive uncertainty and waste the experiment budget. We introduce ARC-SC(Anchored Risk-Constrained Scenario...

    arxiv.org/abs/2608.27873 · PDF

  2. 02

    Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality

    Clément Soubrier, Geoffrey Woollard, Andrew Warren, Khanh Dao Duc

    math.OC · cs.LG

    Efficiently and robustly analyzing shape data is critical across many scientific disciplines. While chirality is a fundamental property in numerous applications - most notably in molecular science - existing shape analysis metrics fail to distinguish between a shape and its mirror image. To address this gap, we introduce a multilinear generalization of the Gromov-Wasserstein objective. Under mild assumptions, this objective yields a distance...

    arxiv.org/abs/2608.27774 · PDF

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