Convergence Rate of Gradient-Concordant Methods for Smooth Unconstrained Optimization

Alexey Chernov, Anna Lisachenko. Convergence Rate of Gradient-Concordant Methods for Smooth Unconstrained Optimization. In Nicholas N. Olenev, Yuri Evtushenko, Milojica Jacimovic, Michael Yu. Khachay, Vlasta Malkova, editors, Optimization and Applications - 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18-22, 2023, Revised Selected Papers. Volume 14395 of Lecture Notes in Computer Science, pages 33-44, Springer, 2023. [doi]

Abstract

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