Open AccessStrong h
Author(s) -
Teodoro Lara,
Nelson Merentes,
Kazimierz Nikodem
Publication year - 2016
Publication title -
international journal of analysis
Language(s) - English
Resource type - Journals
eISSN - 2314-4998
pISSN - 2314-498X
DOI - 10.1155/2016/7160348
Subject(s) - algorithm , convexity , mathematics , regular polygon , stability (learning theory) , artificial intelligence , combinatorics , computer science , machine learning , geometry , financial economics , economics
Jensen inequality for strongly h-convex functions and a characterization of pairs of functions that can be separated by a strongly h-convex function are presented. As a consequence, a stability result of the Hyers-Ulam type is obtained
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