Optimality conditions in nondifferentiable -invex multiobjective programming.
Kim, Ho Jung, Seo, You Young, Kim, Do Sang (2010)
Journal of Inequalities and Applications [electronic only]
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Kim, Ho Jung, Seo, You Young, Kim, Do Sang (2010)
Journal of Inequalities and Applications [electronic only]
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Day, Martin V. (2005)
Applied Mathematics E-Notes [electronic only]
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Radu Boţ, Ioan Hodrea, Gert Wanka (2008)
Open Mathematics
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We consider a convex optimization problem with a vector valued function as objective function and convex cone inequality constraints. We suppose that each entry of the objective function is the composition of some convex functions. Our aim is to provide necessary and sufficient conditions for the weakly efficient solutions of this vector problem. Moreover, a multiobjective dual treatment is given and weak and strong duality assertions are proved.
Agarwal, Ravi P., Ahmad, I., Husain, Z., Jayswal, A. (2010)
Journal of Inequalities and Applications [electronic only]
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Zaslavski, Alexander J. (2006)
International Journal of Mathematics and Mathematical Sciences
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Luo, Qun (2009)
Journal of Inequalities and Applications [electronic only]
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Mitrović, Zoran D. (2007)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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Nobakhtian, S. (2006)
International Journal of Mathematics and Mathematical Sciences
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Bae, Kwan Deok, Kang, Young Min, Kim, Do Sang (2010)
Journal of Inequalities and Applications [electronic only]
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Zalmai, G.J. (2005)
International Journal of Mathematics and Mathematical Sciences
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Yan Gao, Xuewen Li (2005)
Applications of Mathematics
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An equivalent model of nonsmooth equations for a constrained minimax problem is derived by using a KKT optimality condition. The Newton method is applied to solving this system of nonsmooth equations. To perform the Newton method, the computation of an element of the -differential for the corresponding function is developed.