Journal of Optimization Theory and Applications. 117(3):637–647, JUNE 2003
Issn Print: 0022-3239
Publication Date: June 2003
Lagrangian Approach to Quasiconvex Programing
J. Penot;
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Professor, Laboratory of Applied Mathematics, Faculty of Sciences, University of Pau, Pau, France
Abstract
For a mathematical programming problem, we consider a Lagrangian approach inspired by quasiconvex duality, but as close as possible to the usual convex Lagrangian. We focus our attention on the set of multipliers and we look for their interpretation as generalized derivatives of the performance function associated with a simple perturbation of the given problem. We do not use quasiconvex dualities, but simple direct arguments.