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Dive into the research topics where S. J. Li is active.

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Featured researches published by S. J. Li.


Journal of Optimization Theory and Applications | 2010

Lower Semicontinuity of the Solution Mappings to a Parametric Generalized Ky Fan Inequality

S. J. Li; Z. M. Fang

In this paper, we investigate weak vector solutions and global vector solutions to a generalized Ky Fan inequality. Under new assumptions, which are weaker than the assumption of strict C-mappings, we establish the lower semicontinuity of the solution mappings to a parametric generalized Ky Fan inequality by using a scalarization method. These results extend the corresponding ones in the literature. Some examples are given to illustrate our results.


Journal of Optimization Theory and Applications | 2011

Hölder Continuity of Solutions to Parametric Weak Generalized Ky Fan Inequality

S. J. Li; X. B. Li

In this paper, by using a scalarization technique, we obtain sufficient conditions for Hölder continuity of the solution mapping for a parametric weak generalized Ky Fan Inequality in the case where the solution mapping is a general set-valued one. The result is different from the recent ones in the literature.


Journal of Optimization Theory and Applications | 2014

Unified Duality Theory for Constrained Extremum Problems. Part I: Image Space Analysis

Shengkun Zhu; S. J. Li

This paper is concerned with a unified duality theory for a constrained extremum problem. Following along with the image space analysis, a unified duality scheme for a constrained extremum problem is proposed by virtue of the class of regular weak separation functions in the image space. Some equivalent characterizations of the zero duality property are obtained under an appropriate assumption. Moreover, some necessary and sufficient conditions for the zero duality property are also established in terms of the perturbation function. In the accompanying paper, the Lagrange-type duality, Wolfe duality and Mond–Weir duality will be discussed as special duality schemes in a unified interpretation. Simultaneously, three practical classes of regular weak separation functions will be also considered.


European Journal of Operational Research | 2011

Hölder continuity and upper estimates of solutions to vector quasiequilibrium problems

S. J. Li; C. R. Chen; X. B. Li; Kok Lay Teo

In this paper, we establish the Holder continuity of solution mappings to parametric vector quasiequilibrium problems in metric spaces under the case that solution mappings are set-valued. Our main assumptions are weaker than those in the literature, and the results extend and improve the recent ones. Furthermore, as an application of Holder continuity, we derive upper bounds for the distance between an approximate solution and a solution set of a vector quasiequilibrium problem with fixed parameters.


Computers & Mathematics With Applications | 2010

On the solution semicontinuity to a parametric generalized vector quasivariational inequality

C. R. Chen; S. J. Li; Z.M. Fang

In this paper, the semicontinuities of the solution set map are investigated for a parametric generalized vector quasivariational inequality in locally convex Hausdorff topological vector spaces. The upper semicontinuity and closedness of the solution set map are obtained. A parametric gap function is proposed by using a nonlinear scalarization function. By virtue of the parametric gap function and a key assumption, the Hausdorff lower semicontinuity of the solution set map is established.


Optimization Letters | 2010

Higher-order optimality conditions for weakly efficient solutions in nonconvex set-valued optimization

Q. L. Wang; S. J. Li; Kok Lay Teo

In this paper, generalized higher-order contingent (adjacent) derivatives of set-valued maps are introduced and some of their properties are discussed. Under no any convexity assumptions, necessary and sufficient optimality conditions are obtained for weakly efficient solutions of set-valued optimization problems by employing the generalized higher-order derivatives.


Optimization Letters | 2011

Lower Studniarski derivative of the perturbation map in parametrized vector optimization

Xiang-Kai Sun; S. J. Li

In this paper, by virtue of lower Studniarski derivatives of set-valued maps, relationships between lower Studniarski derivative of a set-valued map and its profile map are discussed. Some results concerning sensitivity analysis are obtained in parametrized vector optimization.


Journal of Optimization Theory and Applications | 2012

Nonlinear Separation Approach to Constrained Extremum Problems

S. J. Li; Y. D. Xu; Shengkun Zhu

In this paper, by virtue of a nonlinear scalarization function, two nonlinear weak separation functions, a nonlinear regular weak separation function, and a nonlinear strong separation function are first introduced, respectively. Then, by the image space analysis, a global saddle-point condition for a nonlinear function is investigated. It is shown that the existence of a saddle point is equivalent to a nonlinear separation of two suitable subsets of the image space. Finally, some necessary and sufficient optimality conditions are obtained for constrained extremum problems.


Computers & Mathematics With Applications | 2009

Higher order weak epiderivatives and applications to duality and optimality conditions

C. R. Chen; S. J. Li; Kok Lay Teo

In this paper, the notions of higher order weak contingent epiderivative and higher order weak adjacent epiderivative for a set-valued map are defined. By virtue of higher order weak adjacent (contingent) epiderivatives and Henig efficiency, we introduce a higher order Mond-Weir type dual problem and a higher order Wolfe type dual problem for a constrained set-valued optimization problem (SOP) and discuss the corresponding weak duality, strong duality and converse duality properties. We also establish higher order Kuhn-Tucker type necessary and sufficient optimality conditions for (SOP).


Journal of Mathematical Analysis and Applications | 2003

Generalized minimax inequalities for set-valued mappings

S. J. Li; G. Y. Chen; Kok Lay Teo; X. Q. Yang

In this paper, we study generalized minimax inequalities in a Hausdorff topological vector space, in which the minimization and the maximization of a two-variable set-valued mapping are alternatively taken in the sense of vector optimization. We establish two types of minimax inequalities by employing a nonlinear scalarization function and its strict monotonicity property. Our results are obtained under weaker convexity assumptions than those existing in the literature. Several examples are given to illustrate our results.

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X. Q. Yang

Hong Kong Polytechnic University

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Y. D. Xu

Chongqing University

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J. Zeng

Chongqing University

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X. B. Li

Chongqing University

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