Relaxation in infinite convex programming under Slater-type regularity conditions

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Correa, Rafael, Hantoute, Abderrahim, López, Marco A.
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914307638296576
author Correa, Rafael
Hantoute, Abderrahim
López, Marco A.
author_facet Correa, Rafael
Hantoute, Abderrahim
López, Marco A.
contents The main purpose of this paper is to close the gap between the optimal values of an infinite convex program and that of its biconjugate relaxation. It is shown that Slater and continuity-type conditions guarantee such a zero-duality gap. The approach uses calculus rules for the conjugation and biconjugation of the sum and pointwise supremum operations. A second important objective of this work is to exploit these results on relaxation by applying them in the context of duality theory.
format Preprint
id arxiv_https___arxiv_org_abs_2602_05457
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Relaxation in infinite convex programming under Slater-type regularity conditions
Correa, Rafael
Hantoute, Abderrahim
López, Marco A.
Optimization and Control
Functional Analysis
26B05, 26J25, 49H05
The main purpose of this paper is to close the gap between the optimal values of an infinite convex program and that of its biconjugate relaxation. It is shown that Slater and continuity-type conditions guarantee such a zero-duality gap. The approach uses calculus rules for the conjugation and biconjugation of the sum and pointwise supremum operations. A second important objective of this work is to exploit these results on relaxation by applying them in the context of duality theory.
title Relaxation in infinite convex programming under Slater-type regularity conditions
topic Optimization and Control
Functional Analysis
26B05, 26J25, 49H05
url https://arxiv.org/abs/2602.05457