Computational Optimization and Applications

Papers
(The H4-Index of Computational Optimization and Applications is 17. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Special issue for SIMAI 2020–2021: large-scale optimization and applications92
A numerical-and-computational study on the impact of using quaternions in the branch-and-prune algorithm for exact discretizable distance geometry problems39
An inexactly accelerated algorithm for nonnegative tensor CP decomposition with the column unit constraints38
An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations32
Adaptive dipole-like parameter calibration of complex black-box continuous processes31
Formulations and algorithms for the simple cycle problem30
A globally convergent gradient method with momentum29
Average curvature FISTA for nonconvex smooth composite optimization problems27
Generating representative sets for multiobjective discrete optimization problems with specified coverage errors25
Chance-constrained programs with convex underlying functions: a bilevel convex optimization perspective24
A nonsmooth primal-dual method with interwoven PDE constraint solver22
Constrained and unconstrained deep image prior optimization models with automatic regularization21
A Filippov approximation theorem for strengthened one-sided Lipschitz differential inclusions20
Scalable approximate optimal diagonal preconditioning20
A derivative-free Levenberg–Marquardt method for sparse nonlinear least squares problems19
A nonlinear conjugate gradient algorithm for multiobjective optimization: multiple hybrid search direction and global rates18
Preprocessing and valid inequalities for exact detection of critical nodes via integer programming17
A novel global algorithm for optimal portfolio selection with maximum relative marginal risk via SCO method and SOCP relaxation17
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