The paper examines some axiomatic definitions of separation functions that can be employed fruitfully in the analysis of side-constrained extremum problems. A study of their general properties points out connections with abstract convex analysis and recent generalizations of Lagrangian approaches to duality and exact penalty methods. Many concrete examples are brought out.

Rubinov, A., Uderzo, A. (2001). On Global Optimality Conditions via Separation Functions. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 109(2), 345-370 [10.1023/A:1017566406216].

On Global Optimality Conditions via Separation Functions

UDERZO, AMOS
2001

Abstract

The paper examines some axiomatic definitions of separation functions that can be employed fruitfully in the analysis of side-constrained extremum problems. A study of their general properties points out connections with abstract convex analysis and recent generalizations of Lagrangian approaches to duality and exact penalty methods. Many concrete examples are brought out.
Articolo in rivista - Articolo scientifico
separation functions; theorems of the alternative; abstract convexity; duality; side-constrained optimization; image space analysis
English
mag-2001
109
2
345
370
none
Rubinov, A., Uderzo, A. (2001). On Global Optimality Conditions via Separation Functions. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 109(2), 345-370 [10.1023/A:1017566406216].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/7266
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