Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1709

 Title: Sufficient Second Order Optimality Conditions for C^1 Multiobjective Optimization Problems Authors: Gadhi, N. Keywords: Approximate Hessian MatrixRecession MatricesSufficient Second Order Optimality ConditionsSupport FunctionsMultiobjective Optimization Issue Date: 2003 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Mathematical Journal, Vol. 29, No 3, (2003), 225p-238p Abstract: In this work, we use the notion of Approximate Hessian introduced by Jeyakumar and Luc [19], and a special scalarization to establish sufficient optimality conditions for constrained multiobjective optimization problems. Throughout this paper, the data are assumed to be of class C^1, but not necessarily of class C^(1.1). Description: 2000 Mathematics Subject Classification: Primary 90C29; Secondary 90C30. URI: http://hdl.handle.net/10525/1709 ISSN: 1310-6600 Appears in Collections: Volume 29 Number 3

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