Poorly convex functions and their application to an optimization problem

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Dane publikacji

  • DOI: 10.4064/am2389-10-2019

  • Tom 47

  • Zeszyt 1

  • Czasopismo: Applicationes Mathematicae

  • Strony: 1-27

  • Data publikacji online: 30.01.2020

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Abstrakt

The paper introduces a new class of functions, called poorly convex, defined on convex subsets of $\mathbb {R}^n$. The class is bigger than the class of classical convex functions, and is a subset of the class of quasi-convex ones. The theory of poorly convex functions is developed, and its application to an optimization problem is shown.