Optimization Methods & Software

Papers
(The H4-Index of Optimization Methods & Software is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Inexact model: a framework for optimization and variational inequalities31
Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning27
Stochastic distributed learning with gradient quantization and double-variance reduction18
An efficient hybrid conjugate gradient method for unconstrained optimization16
A Benson-type algorithm for bounded convex vector optimization problems with vertex selection14
Quasi-Newton methods for machine learning: forget the past, just sample13
A class of smooth exact penalty function methods for optimization problems with orthogonality constraints11
On the numerical performance of finite-difference-based methods for derivative-free optimization10
Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments9
An inertial subgradient extragradient algorithm with adaptive stepsizes for variational inequality problems9
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