Image Space Analysis and Separation for G-Semidifferentiable Vector Problems

This paper aims at studying, in the image space, an approximation of a vector optimization problem obtained by substituting the involved functions with their G-derivatives. It is shown that, under the hypothesis of G-differentiability, the existence of a semistationary point is equivalent to the linear separation between the image of the approximated problem and a suitable convex subset of the image space. Applications to optimality conditions are provided.

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Year of publication:	2013-12
Authors:	Mastroeni, Giandomenico ; Pellegrini, Letizia
Institutions:	Dipartimento di Scienze Economiche, Facoltà di Economia
Subject:	Vector Optimization \| Image Space \| Separation

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Notes:	Number 26/2013 1 pages long
Classification:	C61 - Optimization Techniques; Programming Models; Dynamic Analysis
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010929636