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math.OC2026
Nonmonotone Coderivative-Based Newton Methods for Nonsmooth Optimization with Machine Learning Applications
Sina Kazemdehbashi, Yanchao Liu, Boris S. Mordukhovich
Newton-type algorithms are among the most effective methods for solving optimization problems because of their rapid local convergence. However, extending these methods to nonsmoot…
math.OC2025
Prioritizing Recurrent Services
Lin Franklin Feng, Yue Hu, Xu Kuang
We study optimal scheduling in multi-class queueing systems with reentrance, where jobs may return for additional service after completion. Such reentrance creates feedback loops t…