The aim of this paper is to study, starting from a separation scheme, some aspects of Lagrangian duality for vector constrained extremum problems. In particular, the image space approach and separation argument are exploited to derive a duality theorem. A class of nonconvex problems fulfilling the assumptions of such a theorem is outlined. The theorem is compared with similar results available in literature.
Titolo: | On Lagrangian Duality in Vector Optimization |
Autori: | PELLEGRINI, Letizia (Corresponding) |
Data di pubblicazione: | 2020 |
Rivista: | |
Handle: | http://hdl.handle.net/11562/1018779 |
Appare nelle tipologie: | 01.01 Articolo in Rivista |
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