AbstractThe aim of this paper is to present a geometric characterization of even convexity in separable Banach spaces, which is not expressed in terms of dual functionals or separation theorems. As an application, an analytic equivalent definition for the class of evenly quasiconvex functions is derived
The idea of convexity is very important especially for probability theory, optimization and stochast...
AbstractIf C ⊆ Rn be a nonempty convex set, then f: C → R is convex function if and only if it is a ...
AbstractIn this note we study the separation of two convex sets in the straight line spaces introduc...
A subset of a finite-dimensional real vector space is called evenly convex if it is the intersectio...
textabstractIn the first chapter of this book the basic results within convex and quasiconvex analys...
A subset of R^n is said to be evenly convex (e-convex, in breaf) if it is the intersection of some f...
In the present work we study properties and relations between convex functions and their generalizat...
A function is convex if its epigraph is convex. This geometrical structure has very strong implicati...
In the first part of this master’s thesis, a convexity of functions of one variable is discussed. Fol...
The notion of convex set for subsets of lattices in one particular case was introduced in [1], where...
Like differentiability, convexity is a natural and powerful property of functions that plays a signi...
In this paper we provide new results on even convexity and extend some others to the framework of ge...
AbstractIn this article we study a Hadamard type inequality for nonnegative evenly quasiconvex funct...
In this article we study a Hadamard type inequality for nonnegative evenly quasiconvex functions. Th...
In this article we study a Hadamard type inequality for nonnegative evenly quasiconvex functions. Th...
The idea of convexity is very important especially for probability theory, optimization and stochast...
AbstractIf C ⊆ Rn be a nonempty convex set, then f: C → R is convex function if and only if it is a ...
AbstractIn this note we study the separation of two convex sets in the straight line spaces introduc...
A subset of a finite-dimensional real vector space is called evenly convex if it is the intersectio...
textabstractIn the first chapter of this book the basic results within convex and quasiconvex analys...
A subset of R^n is said to be evenly convex (e-convex, in breaf) if it is the intersection of some f...
In the present work we study properties and relations between convex functions and their generalizat...
A function is convex if its epigraph is convex. This geometrical structure has very strong implicati...
In the first part of this master’s thesis, a convexity of functions of one variable is discussed. Fol...
The notion of convex set for subsets of lattices in one particular case was introduced in [1], where...
Like differentiability, convexity is a natural and powerful property of functions that plays a signi...
In this paper we provide new results on even convexity and extend some others to the framework of ge...
AbstractIn this article we study a Hadamard type inequality for nonnegative evenly quasiconvex funct...
In this article we study a Hadamard type inequality for nonnegative evenly quasiconvex functions. Th...
In this article we study a Hadamard type inequality for nonnegative evenly quasiconvex functions. Th...
The idea of convexity is very important especially for probability theory, optimization and stochast...
AbstractIf C ⊆ Rn be a nonempty convex set, then f: C → R is convex function if and only if it is a ...
AbstractIn this note we study the separation of two convex sets in the straight line spaces introduc...
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