Yuliya Gorb
University of Houston
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Publication
Featured researches published by Yuliya Gorb.
Multiscale Modeling & Simulation | 2012
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
Leonid Berlyand; Yuliya Gorb; Alexei Novikov
E
Journal of Computational and Applied Mathematics | 2012
Dmitri Kuzmin; Yuliya Gorb
blows up in the
Networks and Heterogeneous Media | 2006
Leonid Berlyand; Giuseppe Cardone; Yuliya Gorb; Gregory Panasenko
L^\infty
Journal of Computational and Applied Mathematics | 2014
Yuliya Gorb; Otto Mierka; Liudmila Rivkind; Dmitri Kuzmin
-norm as
Multiscale Modeling & Simulation | 2015
Yuliya Gorb
\delta
Multiscale Modeling & Simulation | 2014
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
Yuliya Gorb; Daria Kurzanova
\delta
Journal of Computational and Applied Mathematics | 2016
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
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.