Gergina Pencheva
University of Texas at Austin
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Featured researches published by Gergina Pencheva.
Multiscale Modeling & Simulation | 2007
Todd Arbogast; Gergina Pencheva; Mary F. Wheeler; Ivan Yotov
We develop multiscale mortar mixed finite element discretizations for second order elliptic equations. The continuity of flux is imposed via a mortar finite element space on a coarse grid scale, while the equations in the coarse elements (or subdomains) are discretized on a fine grid scale. The polynomial degree of the mortar and subdomain approximation spaces may differ; in fact, the mortar space achieves approximation comparable to the fine scale on its coarse grid by using higher order polynomials. Our formulation is related to, but more flexible than, existing multiscale finite element and variational multiscale methods. We derive a priori error estimates and show, with appropriate choice of the mortar space, optimal order convergence and some superconvergence on the fine scale for both the solution and its flux. We also derive efficient and reliable a posteriori error estimators, which are used in an adaptive mesh refinement algorithm to obtain appropriate subdomain and mortar grids. Numerical experi...
Numerical Linear Algebra With Applications | 2003
Gergina Pencheva; Ivan Yotov
The balancing domain decomposition method for mixed finite elements by Cowsar, Mandel, and Wheeler is extended to the case of mortar mixed finite elements on non-matching multiblock grids. The algorithm involves an iterative solution of a mortar interface problem with one local Dirichlet solve and one local Neumann solve per subdomain on each iteration. A coarse solve is used to guarantee that the Neumann problems are consistent and to provide global exchange of information across subdomains. Quasi-optimal condition number bounds are derived, which are independent of the jump in coefficients between subdomains. Numerical experiments confirm the theoretical results. Copyright
Mathematical Models and Methods in Applied Sciences | 2011
Vivette Girault; Gergina Pencheva; Mary F. Wheeler; Tim Wildey
We couple a time-dependent poroelastic model in a region with an elastic model in adjacent regions. We discretize each model independently on non-matching grids and we realize a domain decomposition on the interface between the regions by introducing DG jumps and mortars. The unknowns are condensed on the interface, so that at each time step, the computation in each subdomain can be performed in parallel. In addition, by extrapolating the displacement, we present an algorithm where the computations of the pressure and displacement are decoupled. We show that the matrix of the interface problem is positive definite and establish error estimates for this scheme.
SIAM Journal on Numerical Analysis | 2013
Gergina Pencheva; Martin Vohralík; Mary F. Wheeler; Tim Wildey
We consider discretizations of a model elliptic problem by means of different numerical methods applied separately in different subdomains, termed multinumerics, coupled using the mortar technique. The grids need not match along the interfaces. We are also interested in the multiscale setting, where the subdomains are partitioned by a mesh of size
Multiscale Modeling & Simulation | 2012
Benjamin Ganis; Gergina Pencheva; Mary F. Wheeler; Tim Wildey; Ivan Yotov
h
Multiscale Modeling & Simulation | 2014
Benjamin Ganis; Kundan Kumar; Gergina Pencheva; Mary F. Wheeler; Ivan Yotov
, whereas the interfaces are partitioned by a mesh of much coarser size
SIAM Journal on Scientific Computing | 2014
Benjamin Ganis; Mika Juntunen; Gergina Pencheva; Mary F. Wheeler; Ivan Yotov
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ENUMATH | 2016
Prashant Mital; Thomas Wick; Mary F. Wheeler; Gergina Pencheva
, and where lower-order polynomials are used in the subdomains and higher-order polynomials are used on the mortar interface mesh. We derive several fully computable a posteriori error estimates which deliver a guaranteed upper bound on the error measured in the energy norm. Our estimates are also locally efficient and one of them is robust with respect to the ratio
SPE Large Scale Computing and Big Data Challenges in Reservoir Simulation Conference and Exhibition | 2014
Benjamin Ganis; Kundan Kumar; Gergina Pencheva; Mary F. Wheeler; Ivan Yotov
H/h
Journal of Computational Physics | 2018
Gurpreet Singh; Gergina Pencheva; Mary F. Wheeler
under an assumption of sufficient regularity of the weak solution. The present approach allows bounding separately and comparing mutually the subdomain and interface errors. A subdomain/interface adaptive refinement s...