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On estimates for solutions of systems of convex inequalities
Arutyunov A.V., Zhukovskiy S.E.
given point to the Lebesgue set of a convex function are obtained and sufficient conditions for convex
Optimality conditions for convex semi-infinite programming problems with finitely representable compact index sets
Kostyukova, O. I., Костюкова, О. И., Tchemisova, T. V.
In the present paper, we analyze a class of convex semi-infinite programming problems
The punishing factors for convex pairs are 2n-1
Avkhadiev F., Wirths K.
with the set A(Ω, ∏) of functions f : Ω → ∏ holomorphic on Ω and we prove estimates for |f(n)(z)|, f ∈ A(Ω, Ω
Convex and set-valued analysis
Arutyunov Aram V., Obukhovskii Valeri
of two important parts of contemporary mathematics: convex and set-valued analysis. In the first part
Convex Isoquants in DEA Models with Selective Convexity
Afanasiev A.P., Krivonozhko V.E., Lychev A.V., Sukhoroslov O.V.
Abstract: Models with selective convexity are an important class of data envelopment analysis (DEA
Theorems of the Alternative for Systems of Convex Inequalities
Arutyunov A.V., Zhukovskiy S.E., Marinkovic B.
Systems of convex inequalities in function spaces are considered. Solvability conditions
The punishing factors for convex pairs are 2n-1
Avkhadiev F., Wirths K.
with the set A(Ω, ∏) of functions f : Ω → ∏ holomorphic on Ω and we prove estimates for |f(n)(z)|, f ∈ A(Ω, Ω
Variational Geometric Approach to Generalized Differential and Conjugate Calculi in Convex Analysis
Mordukhovich B.S., Nam N.M., Rector R.B., Tran T.
This paper develops a geometric approach of variational analysis for the case of convex objects
On convex closed sets of measurable operators
Bikchentaev Airat Midkhatovich
We investigate "operator" intervals of three types and prove some convexity and closedness theorems
Algorithmic determination of immobile indices in convex SIP problems with polyhedral index sets
Kostyukova, O. I., Tchemisova, T. V.
of new efficient optimality conditions without constraint qualifications. Given a class of convex SIP

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