Optimization and Variational Inequalities with Pseudoconvex Functions
V. I. Ivanov ()
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V. I. Ivanov: Technical University of Varna
Journal of Optimization Theory and Applications, 2010, vol. 146, issue 3, No 4, 602-616
Abstract:
Abstract In the present paper we consider a pseudoconvex (in an extended sense) function f using higher order Dini directional derivatives. A Variational Inequality, which is a refinement of the Stampacchia Variational Inequality, is defined. We prove that the solution set of this problem coincides with the set of global minimizers of f if and only if f is pseudoconvex. We introduce a notion of pseudomonotone Dini directional derivatives (in an extended sense). It is applied to prove that the solution sets of the Stampacchia Variational Inequality and Minty Variational Inequality coincide if and only if the function is pseudoconvex. At last, we obtain several characterizations of the solution set of a program with a pseudoconvex objective function.
Keywords: Nonsmooth optimization; Pseudo-convex functions; Variational inequalities of differential type; Characterizations of the solution set of the nonlinear programming problem (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (3)
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DOI: 10.1007/s10957-010-9682-5
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