Exact worst-case convergence rates of gradient descent: a complete analysis for all constant stepsizes over nonconvex and convex functions

Mathematical Programming 2026 Open access

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Authors: Teodor Rotaru, François Glineur, Panagiotis Patrinos
DOI: 10.1007/s10107-025-02313-1
Cited by: 0
References: 40

Fields of Study & Subjects

Stochastic Gradient Optimization Techniques Sparse and Compressive Sensing Techniques Mathematical Biology Tumor Growth

Publication details

Journal / source
Mathematical Programming
Publisher
Springer Science and Business Media LLC
Publication date
26 May 2026
Language
EN