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<datestamp>2017-12-21</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Subdifferential characterization of approximate convexity: the lower semicontinuous case</title>
<creator>Daniilidis, Aris</creator>
<creator>Jules, Florence</creator>
<creator>Lassonde, Marc</creator>
<contributor>Departament de Matemàtiques [Barcelona] ; Universitat Autònoma de Barcelona [Barcelona] (UAB)</contributor>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>Mathematical Programming B</source>
<publisher>Springer</publisher>
<identifier>hal-00694605</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00694605</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00694605</source>
<source>Mathematical Programming B, Springer, 2009, 116 (1-2), pp.115-127</source>
<language>en</language>
<subject>[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>It is known that a locally Lipschitz function f is approximately convex if, and only if, its Clarke subdifferential ∂C f is a submonotone operator. The main object of this work is to extend the above characterization to the class of lower semicontinuous functions. To this end, we establish a new approximate mean value inequality involving three points. We also show that an analogue of the Rockafellar maximal monotonicity theorem holds for this class of functions and we discuss the case of arbitrary subdifferentials</description>
<date>2009</date>
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