2007
DOI: 10.1137/060652087
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The SECQ, Linear Regularity, and the Strong CHIP for an Infinite System of Closed Convex Sets in Normed Linear Spaces

Abstract: Abstract. We consider a ( nite or in nite) family of closed convex sets with nonempty i n tersection in a normed space. A property relating their epigraphs with their intersection's epigraph is studied, and its relations to other constraint quali cations (such as the linear regularity, the strong CHIP and Jameson's (G)-property) are established. With suitable continuity assumption we s h o w h o w t h i s p r o p e r t y can be ensured from the corresponding property of some of its nite subfamilies.

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Cited by 57 publications
(41 citation statements)
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“…Constraint qualifications involving epigraphs have been studied and extensively used by Jeyakumar and his collaborators in [11,12,23,28,29,30,31], Boţ et al [4,5,6,9,10], Dinh et al [16,17,19,20,21,22], and Li et al [40,41]. Our main aims in the present paper is to use these constraint qualifications (or their variations) to provide complete characterizations for the Farkas rule and the stable Farkas rule, and for the (strong/strong stable ) Lagrangian duality.…”
Section: 2)mentioning
confidence: 99%
See 1 more Smart Citation
“…Constraint qualifications involving epigraphs have been studied and extensively used by Jeyakumar and his collaborators in [11,12,23,28,29,30,31], Boţ et al [4,5,6,9,10], Dinh et al [16,17,19,20,21,22], and Li et al [40,41]. Our main aims in the present paper is to use these constraint qualifications (or their variations) to provide complete characterizations for the Farkas rule and the stable Farkas rule, and for the (strong/strong stable ) Lagrangian duality.…”
Section: 2)mentioning
confidence: 99%
“…This problem has been studied extensively under various degrees of restrictions imposed on f t , t ∈ T or on the underlying space and many problems in optimization and approximation theory such as linear semi-infinite optimization and the best approximation with restricted ranges can be recast into the form (1.1), see for example [8,16,17,23,24,33,35,36,38,40,41,42]. Another important and classical example of (1.1) is the following so-called conic programming problem, which recently received much attention (cf.…”
Section: 2)mentioning
confidence: 99%
“…In particular, (1.3) reduces to the SECQ introduced in [35] if g i = δ Ci for some family of closed convex sets {C i : i ∈ I}. We show that by suitably choosing the family {g i : i ∈ I}, the conical EHP reduces to the CCCQ defined in [7,26].…”
Section: Introductionmentioning
confidence: 99%
“…(see, e.g., [7], [40], and [41]). Let = ff t (x) 0; t 2 T ; x 2 Cg be consistent and let v 2 X and 2 R: Then the asymptotic Farkas'Lemma (Theorem 4.1 in [13]) establishes that…”
Section: Introduction Many Optimization Problems Are Formulated In Tmentioning
confidence: 99%
“…The stability theory of the feasible set in semiin…nite programming has been reviewed in [18], where the connection between lower semicontinuity of F and constraint quali…cations (e.g., Slater-type and interior-type conditions) are discussed. There exists a wide literature on constraint quali…cations in convex (and extended convex) in…nite dimensional optimization, where they provide optimality conditions and duality theorems (see, e.g., [6], [15], [28], [29], [36], [38], [39], [40], and [41]). …”
Section: Introduction Many Optimization Problems Are Formulated In Tmentioning
confidence: 99%