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math.OC2026
Asymptotic Lower Bounds for Continuous Optimization
Oliver Hinder, Yuntian Jiang
Nonasymptotic convergence rates for optimization problems have been extensively studied across a wide range of settings, with carefully constructed worst-case instances establishin…
math.OC2026
An adaptive interior-point method with backtracking line search for convex constrained optimization
Fadi Hamad, Oliver Hinder
Interior-point methods (IPMs) are widely adopted due to their high practical efficiency in solving linear, convex, and nonconvex optimization problems. For convex optimization, thi…