Some Notes on Approximate Optimality Conditions in Scalar and Vector Optimization Problems

Giorgio Giorgi (), Bienvenido Jiménez () and Vicente Novo ()
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Giorgio Giorgi: Department of Economics and Management, University of Pavia
Bienvenido Jiménez: Departamento de Matematica Aplicada, E.T.S.I.I. Universidad Nacionale de Educacion a Distancia, Madrid, Spain
Vicente Novo: Departamento de Matematica Aplicada, E.T.S.I.I. Universidad Nacionale de Educacion a Distancia, Madrid, Spain

No 95, DEM Working Papers Series from University of Pavia, Department of Economics and Management

Abstract: We give an overview and make some remarks on the approximate optimality conditions, for a nonlinear programming problem, given by Haeser and Schuverdt (2011) and by Fiacco and McCormick (1968a). Other first-order optimality conditions in absence of constraint qualifications are examined. Finally, we extend to a Pareto problem the approximate optimality conditions of Haeser and Schuverdt.

Keywords: Approximate; optimality; conditions.; Asymptotic; optimality; conditions.; Sequential; optimality; condi-; tions.; Nonlinear; programming.; Vector; optimization; problems. (search for similar items in EconPapers)
Pages: 17 pages
Date: 2014-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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