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    Article

    Optimality Conditions for Nondifferentiable Minimax Programs and Vector Optimization Problems

    First-order sufficient optimality conditions in terms of Lagrangian functions and Lagrange multipliers for nondifferentiable minimax programs and vector optimization problems in an Asplund space setting are ob...

    Duong Thi Kim Huyen, Do Sang Kim in Journal of Optimization Theory and Applica… (2024)

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    Article

    On Types of Isolated KKT Points in Polynomial Optimization

    Let f be a real polynomial function with n variables and S be a basic closed semialgebraic set in ℝn. In this paper, the authors are interested in the problem of identifying the type (local minimizer, maximizer o...

    Feng Guo, Liguo Jiao, Do Sang Kim in Journal of Systems Science and Complexity (2023)

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    Article

    Minimax programming as a tool for studying robust multi-objective optimization problems

    This paper aims to investigate optimality conditions for a weakly Pareto solution to a robust multi-objective optimization problem with locally Lipschitzian data. We do this by using a minimax programming approac...

    Zhe Hong, Kwan Deok Bae, Do Sang Kim in Annals of Operations Research (2022)

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    Article

    Two Optimal Value Functions in Parametric Conic Linear Programming

    We consider the conic linear program given by a closed convex cone in an Euclidean space and a matrix, where vector on the right-hand side of the inequality constraint and the vector defining the objective fun...

    Nguyen Ngoc Luan, Do Sang Kim in Journal of Optimization Theory and Applica… (2022)

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    Article

    A dual scheme for solving linear countable semi-infinite fractional programming problems

    Using a dual method for solving linear fractional programming problems, we propose an approach to find optimal solutions of linear countable semi-infinite fractional programming problems via optimizing sequenc...

    Ta Quang Son, Do Sang Kim in Optimization Letters (2022)

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    Article

    Existence of efficient and properly efficient solutions to problems of constrained vector optimization

    The paper is devoted to the existence of global optimal solutions for a general class of nonsmooth problems of constrained vector optimization without boundedness assumptions on constraint set. The main attent...

    Do Sang Kim, Boris S. Mordukhovich, Tiến-Sơn Phạm in Mathematical Programming (2021)

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    Article

    Quasi \(\epsilon \) -solutions in a semi-infinite programming problem with locally Lipschitz data

    Under the fulfilment of the limiting constraint qualification, a necessary condition for a quasi \(\epsilon \) ...

    Liguo Jiao, Do Sang Kim, Yuying Zhou in Optimization Letters (2021)

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    Article

    On perturbed hybrid steepest descent method with minimization or superiorization for subdifferentiable functions

    For finding the minimum value of differentiable functions over a nonempty closed convex subset of a Hilbert space, the hybrid steepest descent method (HSDM) can be applied. In this work, we study perturbed alg...

    Mohsen Hoseini, Shahram Saeidi, Do Sang Kim in Numerical Algorithms (2020)

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    Article

    On the existence of Pareto solutions for polynomial vector optimization problems

    We are interested in the existence of Pareto solutions to the vector optimization problem $$\begin{aligned} \mathrm{Min}_{\,{\mathbb {R}}^m_+} \{f(x) \,|\, x\in {\mathbb {R}}^n\}, \end{aligned}$$MinR+m{f(x)|x∈Rn}

    Do Sang Kim, Tiến-Sơn Phạm, Nguyen Van Tuyen in Mathematical Programming (2019)

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    Article

    Optimality conditions in convex optimization with locally Lipschitz constraints

    In this paper, we consider a convex optimization problem with locally Lipschitz inequality constraints. The KKT optimality conditions (both necessary and sufficient) for quasi

    Zhe Hong, Kwan Deok Bae, Do Sang Kim in Optimization Letters (2019)

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    Article

    On approximate solutions of nondifferentiable vector optimization problems with cone-convex objectives

    In this paper, we study a nondifferentiable constrained vector optimization problem where the partial order in the image space is induced by a closed, convex and pointed cone with nonempty interior. Under the C-c...

    Zhe Hong, Guang-Ri Piao, Do Sang Kim in Optimization Letters (2019)

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    Article

    New Second-Order Karush–Kuhn–Tucker Optimality Conditions for Vector Optimization

    In the present paper, we focus on the vector optimization problems with constraints, where objective functions and constrained functions are Fréchet differentiable, and whose gradient map** is locally Lipsch...

    Nguyen Quang Huy, Do Sang Kim, Nguyen Van Tuyen in Applied Mathematics & Optimization (2019)

  13. Article

    Open Access

    Extragradient subgradient methods for solving bilevel equilibrium problems

    In this paper, we propose two algorithms for finding the solution of a bilevel equilibrium problem in a real Hilbert space. Under some sufficient assumptions on the bifunctions involving pseudomonotone and Lip...

    Tadchai Yuying, Bui Van Dinh, Do Sang Kim in Journal of Inequalities and Applications (2018)

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    Article

    Normal regularity for the feasible set of semi-infinite multiobjective optimization problems with applications

    We establish verifiable conditions for the feasible set of a nonsmooth semi-infinite multiobjective optimization problem to have the normal regularity (that is, the coincidence of the Fréchet normal cone and t...

    Thai Doan Chuong, Do Sang Kim in Annals of Operations Research (2018)

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    Article

    Parallel extragradient algorithms for multiple set split equilibrium problems in Hilbert spaces

    In this paper, we introduce an extension of multiple set split variational inequality problem (Censor et al. Numer. Algor. 59, 301–323 2012) to multiple set split equilibrium problem (MSSEP) and propose two new p...

    Do Sang Kim, Bui Van Dinh in Numerical Algorithms (2018)

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    Article

    Existence Theorems in Vector Optimization with Generalized Order

    In the present paper, we establish some results for the existence of optimal solutions in vector optimization in infinite-dimensional spaces, where the optimality notion is understood in the sense of generaliz...

    Nguyen Quang Huy, Do Sang Kim in Journal of Optimization Theory and Applica… (2017)

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    Article

    Nondifferentiable minimax programming problems with applications

    This paper is devoted to the study of optimality conditions and duality in nondifferentiable minimax programming problems and applications. Employing some advanced tools of variational analysis and generalized...

    Thai Doan Chuong, Do Sang Kim in Annals of Operations Research (2017)

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    Article

    Extragradient algorithms for equilibrium problems and symmetric generalized hybrid map**s

    In this paper, we propose new algorithms for finding a common point of the solution set of a pseudomonotone equilibrium problem and the set of fixed points of a symmetric generalized hybrid map** in a real H...

    Bui Van Dinh, Do Sang Kim in Optimization Letters (2017)

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    Article

    Qualitative properties of strongly pseudomonotone variational inequalities

    Qualitative properties of strongly pseudomonotone variational inequalities such as solution existence, stability and global error bound are studied in this paper.

    Do Sang Kim, Phan Tu Vuong, Pham Duy Khanh in Optimization Letters (2016)

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    Article

    A class of nonsmooth fractional multiobjective optimization problems

    This paper focuses on the study of optimality conditions and duality in nonsmooth fractional multiobjective optimization problems. Applying some advanced tools of variational analysis and generalized different...

    Thai Doan Chuong, Do Sang Kim in Annals of Operations Research (2016)

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