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Dive into the research topics where Yuliya Gorb is active.

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Featured researches published by Yuliya Gorb.


Multiscale Modeling & Simulation | 2012

Blow-up of Solutions to a

Yuliya Gorb; Alexei Novikov

Consider two perfectly conducting spheres in a homogeneous medium where the current-electric field relation is the power law. Electric field


Archive | 2005

p

Leonid Berlyand; Yuliya Gorb; Alexei Novikov

E


Journal of Computational and Applied Mathematics | 2012

-Laplace Equation

Dmitri Kuzmin; Yuliya Gorb

blows up in the


Networks and Heterogeneous Media | 2006

Discrete Network Approximation for Highly-Packed Composites with Irregular Geometry in Three Dimensions

Leonid Berlyand; Giuseppe Cardone; Yuliya Gorb; Gregory Panasenko

L^\infty


Journal of Computational and Applied Mathematics | 2014

A flux-corrected transport algorithm for handling the close-packing limit in dense suspensions

Yuliya Gorb; Otto Mierka; Liudmila Rivkind; Dmitri Kuzmin

-norm as


Multiscale Modeling & Simulation | 2015

Asymptotic analysis of an array of closely spaced absolutely conductive inclusions

Yuliya Gorb

\delta


Multiscale Modeling & Simulation | 2014

Finite element simulation of three-dimensional particulate flows using mixture models

Liliana Borcea; Yuliya Gorb; Yingpei Wang

, the distance between the conductors, tends to zero. We give here a concise rigorous justification of the rate of this blow-up in terms of


Journal of Computational and Applied Mathematics | 2018

Singular Behavior of Electric Field of High-Contrast Concentrated Composites

Yuliya Gorb; Daria Kurzanova

\delta


Journal of Computational and Applied Mathematics | 2016

Asymptotic Approximation of the Dirichlet to Neumann Map of High Contrast Conductive Media

Yuliya Gorb

. If the current-electric field relation is linear, see similar results obtained earlier in [E. S. Bao, Y. Y. Li, and B. Yin, Arch. Ration. Mech. Anal., 193 (2009), pp. 195--226; H. Kang, M. Lim, and K. H. Yun, preprint, http://arxiv.org/abs/1105.4328v1, 2011; M. Lim and K. Yun, Comm. Partial Differential Equations, 34 (2009), pp. 1287--1315; K. Yun, SIAM J. Appl. Math., 67 (2007), pp. 714--730; K. Yun, J. Math. Anal. Appl., 350 (2009), pp. 306--312].


international conference on large scale scientific computing | 2009

Heterogeneous domain decomposition method for high contrast dense composites

Peter Popov; Yalchin Efendiev; Yuliya Gorb

We introduce a discrete network approximation to the problem of the effective conductivity of a high contrast, densely packed composite in three dimensions. The inclusions are irregularly (randomly) distributed in a host medium. For this class of arrays of inclusions we derive a discrete network approximation for effective conductivity and obtain a priori error estimates. We use a variational duality approach to provide rigorous mathematical justification for the approximation and its error estimate.

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Leonid Berlyand

Pennsylvania State University

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Alexei Novikov

Pennsylvania State University

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Dmitri Kuzmin

Technical University of Dortmund

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Bogdan Vernescu

Worcester Polytechnic Institute

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