Optimization

Papers
(The H4-Index of Optimization is 13. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
Value at risk approach to producer's best response in an electricity market with uncertain demand28
Robust projection twin support vector machine via DC programming27
Convergence rate of the relaxed CQ algorithm under Hölderian type error bound property26
A note on the paper ‘A global optimality result in probabilistic spaces using control function’24
New fast proximal point algorithms for monotone inclusion problems with applications to image recovery22
Existence of financial equilibria with real assets: a variational inequality approach19
Primal characterizations of stability of error bounds for semi-infinite convex constraint systems in Banach spaces17
Tseng-type splitting projection algorithms for equilibrium problems in Hilbert spaces17
Radial epiderivative based line search methods in nonconvex and nonsmooth box-constrained optimization16
Levitin–Polyak well-posedness of split multivalued variational inequalities16
Strong duality of a conic optimization problem with a single hyperplane and two cone constraints15
Quantitative stability for a class of stochastic vector linear variational inequalities14
A long-step second-order corrector interior point algorithm for linear optimization based on the algebraic equivalent transformation13
Quasi-variational inequalities on product spaces and its applications to stochastic equilibrium problems13
Stability of nonhomogeneous split equality and split feasibility problems with possibly nonconvex constraint sets13
Stability of solutions to set-valued equilibrium problems via scalarization13
A novel view on the mean value theorem for nondifferentiable functions and on hemivariational inequality theory13
Characterizations of robustness in vector optimization w.r.t. variable domination structures under uncertainty via image space analysis13
A new filled function method for solving constrained global optimization problems13
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