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Страница 19 из 6051

Application of the conditional gradient method to a network resource allocation problem with several classes of users

Konnov I., Kashuba A.

and maximize the network profit, which gives a convex optimization problem with balance and capacity

Volumes of convex polyhedra in hyperbolic spaces

Volumes of convex polyhedra in hyperbolic spaces

CQ-free optimality conditions for copositive programming problems with isolated immobile indices

Kostyukova, O. I., Костюкова, О. И., Tchemisova, T. V.

We apply our recent results on optimality for convex Semi-Infinite Programming problems to a

Cutting methods with updating approximation sets for solving nonlinear programming problems: summary of the dissertation to obtain the scientic degree of candidate of physics and mathematics: speciality 01.01.09 - discrete mathematics and mathematical cybernetics

Yarullin R. S. (Rashid Samatovich)

Cutting methods with updating approximation sets for solving nonlinear programming problems

One cutting plane algorithm using auxiliary functions

Zabotin I., Kazaeva K.

© Published under licence by IOP Publishing Ltd.We propose an algorithm for solving a convex

A minimization method on the basis of embedding the feasible set and the epigraph

Zabotin I., Shulgina O., Yarullin R.

of the convex nonsmooth function which belongs to the class of cutting-plane methods. During constructing

Estimates for integral means of hyperbolically convex functions

Kayumov I., Obnosov Y.

We prove the Mejia-Pommerenke conjecture that the Taylor coefficients of hyperbolically convex

On operator monotone and operator convex functions

© 2016, Allerton Press, Inc.We establish monotonicity and convexity criteria for a continuous

Analytic functions with polar and logarithmic singularities and locally convex boundary values

at the infinity and generalize univalent convex functions defined in the exterior of the unit disc. We prove sharp

Remarks on the monotonicity and convexity of Jensen's function

Huang Y., Li Y., Pečarić J.

, + ∞). Moreover, Beckenbach [Amer. Math. Monthly, 53 (1946), 501. 505] proved further that Js(x) is a convex

Страница 19 из 6051