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Optimization Online is a repository of Eprints about optimization and related topics.

Submissions to Optimization Online are moderated by a team of volunteer coordinators. Coordinators check submissions for correctness of author-title-link information, but make no claim about quality or correctness of the reports.

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Recent Eprints

• The Maximum Clique Problem under Adversarial Uncertainty: a min-max approach
  Published 2026/01/08 by Giovanni Spisso, Immanuel M. Bomze, Francesco Rinaldi, Chiara Faccio
• A speed up strategy for gradient methods
  Published 2026/01/07 by Anna De Magistris, Serena Crisci, Valentina De Simone, Gerardo Toraldo
• A Geometric Perspective on Polynomially Solvable Convex Maximization
  Published 2026/01/05 by Shaoning Han, Yongchun Li
• An Inexact Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
  Published 2026/01/05 by Nathan Allaire, Sébastien Le Digabel, Dominique Orban
• Optimizing Two-Tier Robotized Sorting Systems for Urban Parcel Delivery
  Published 2026/01/03 by jskim0305, rkhir
• Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms
  Published 2026/01/03 by Jiatai Tong, Yilin Zhu, Thiago Serra, Samuel Burer
• The Convexity Zoo: A Taxonomy of Function Classes in Optimization
  Published 2026/01/01 by Abbas Khademi
• A Gauge Set Framework for Flexible Robustness Design
  Published 2025/12/31 by Ningji Wei, Xian Yu, Peter Yun Zhang
• Machine Learning–Enhanced Column Generation for Large-Scale Capacity Planning Problems
  Published 2025/12/29 by Felipe Keim, Victor Bucarey, Qi Zhang, Angela Flores-Quiroz
• AI for Enhancing Operations Research of Agriculture and Energy
  Published 2025/12/29 by Morteza Kimiaei, Anshu Kumar, Vyacheslav Kungurtsev