2021Journal of Information and Optimization SciencesRequires access

On generalization of E-convex and composite functions

Sudarsan Nanda

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Abstract

In this paper the concepts of some generalizations of E-convexity such as logarithmic, and exponential E-convexity are introduced for real-valued functions defined on a Banach space and their relationships with known concepts have been discussed. Further, some applications to optimization of non-differentiable objective functions have been proposed. Also, it is proved that the composition of an affine and a G-convex functional is G-convex, where G stands for convex, quasi-convex, r-quasi convex and m-quasi convex.

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What this paper is about

In this paper the concepts of some generalizations of E-convexity such as logarithmic, and exponential E-convexity are introduced for real-valued functions defined on a Banach space and their relationships with known concepts have been discussed. Further, some applications to optimization of non-differentiable objective functions have been proposed. Also, it is proved that the composition of an affine and a G-convex functional is G-convex, where G stands for convex, quasi-convex, r-quasi convex and m-quasi convex.

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Available abstract

In this paper the concepts of some generalizations of E-convexity such as logarithmic, and exponential E-convexity are introduced for real-valued functions defined on a Banach space and their relationships with known concepts have been discussed. Further, some applications to optimization of non-differentiable objective functions have been proposed. Also, it is proved that the composition of an affine and a G-convex functional is G-convex, where G stands for convex, quasi-convex, r-quasi convex and m-quasi convex.

Key concepts: Subderivative, Convex analysis, Convexity, Mathematics, Proper convex function, Banach space, Convex optimization, Convex function

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