1998
DOI: 10.1007/978-1-4613-3341-8_1
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Are Generalized Derivatives Sseful for Generalized Convex Functions?

Abstract: We present a review of some ad hoc sub differentials which have been devised for the needs of generalized convexity such as the quasi-sub differentials of GreenbergPierskalla, the tangential of Crouzeix, the lower sub differential of Plastria, the infradifferential of Gutierrez, the subdifferentials of Martinez-Legaz-Sach, Penot-Volle, Thach. We complete this list by some new proposals. We compare these specific subdifferentials to some all-purpose sub differentials used in nonsmooth analysis. We give some hin… Show more

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Cited by 64 publications
(45 citation statements)
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“…When S is convex, both cones coincide with the polar cone to the tangent cone and T (S, z) = cl T r (S, z) = cl(R + (S − z)). Therefore, for a quasiconvex function f , ∂ f (z) and ∂ ν f (z) coincide with the subdifferentials studied in [93], [94]:…”
Section: Fréchet Lower Solution U To (1) Is a Fréchet Subsolution To mentioning
confidence: 67%
“…When S is convex, both cones coincide with the polar cone to the tangent cone and T (S, z) = cl T r (S, z) = cl(R + (S − z)). Therefore, for a quasiconvex function f , ∂ f (z) and ∂ ν f (z) coincide with the subdifferentials studied in [93], [94]:…”
Section: Fréchet Lower Solution U To (1) Is a Fréchet Subsolution To mentioning
confidence: 67%
“…Moreover, in such a case, one sees @f and @f are pseudomonotone (in the sense of [26]; see also [20], [25]). Thus we get a multivalued generalization of the concept of PPM map which has been used in [3] to study variational inequalities.…”
Section: B)(c)(d) Is Obvious By De…nition 23 (C))(a)mentioning
confidence: 99%
“…X and f : C ! R. Our purpose here is limited: since optimality conditions for (C) and mathematical programming problems using the concepts of the previous sections are dealt with in [13], [14], [15], [20], [22], [23], we are just concerned with characterizations of solution sets. Let S be the set of solutions to (C) and let @f : C X be a generalized di¤erential of f:…”
Section: Characterizations Of Solution Setsmentioning
confidence: 99%
“…The de…nitions of @f -pseudoconvexity and @f -quasiconvexity we adopt here for a generalized subdi¤erential @f of f are similar to the ones used for a subdi¤erential by several authors; see [29], [34] and the references therein. We also introduce de…nitions of @f -protoconvexity and strict @f -pseudoconvexity of f as natural variants of the two preceding concepts.…”
Section: Characterizations Of Generalized Convex Functionsmentioning
confidence: 99%
“…Among the tools used to de…ne or study these notions are the various subdi¤erentials of nonsmooth analysis ( [1], [17], [16], [24], [29], [32], [34], [39], [35]...), the convexi…cators of [11], the pseudo-di¤erentials of Jeyakumar and Luc ([18]), the normal cones to sublevel sets ( [2], [4], [5], [6]) and the generalized directional derivatives ( [19], [20], [22], [40]). In the present paper we use a concept of generalized derivative which can encompass all these notions but the last one.…”
Section: Introductionmentioning
confidence: 99%