Venera Khoromskaia
Max Planck Society
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Venera Khoromskaia.
SIAM Journal on Scientific Computing | 2009
Boris N. Khoromskij; Venera Khoromskaia
In this paper, we describe and analyze a novel tensor approximation method for discretized multidimensional functions and operators in
SIAM Journal on Scientific Computing | 2011
Boris N. Khoromskij; Venera Khoromskaia; Heinz-Jürgen Flad
\mathbb{R}^d
Open Mathematics | 2007
Boris N. Khoromskij; Venera Khoromskaia
, based on the idea of multigrid acceleration. The approach stands on successive reiterations of the orthogonal Tucker tensor approximation on a sequence of nested refined grids. On the one hand, it provides a good initial guess for the nonlinear iterations to find the approximating subspaces on finer grids; on the other hand, it allows us to transfer from the coarse-to-fine grids the important data structure information on the location of the so-called most important fibers in directional unfolding matrices. The method indicates linear complexity with respect to the size of data representing the input tensor. In particular, if the target tensor is given by using the rank-
Computer Physics Communications | 2014
Venera Khoromskaia; Boris N. Khoromskij
R
Computer Physics Communications | 2012
Venera Khoromskaia; Dirk Andrae; Boris N. Khoromskij
canonical model, then our approximation method is proved to have linear scaling in the univariate grid size
SIAM Journal on Scientific Computing | 2013
Venera Khoromskaia; Boris N. Khoromskij; Reinhold Schneider
n
Computational methods in applied mathematics | 2014
Venera Khoromskaia
and in the input rank
Computer Physics Communications | 2014
Venera Khoromskaia; Boris N. Khoromskij
R
Molecular Physics | 2016
Peter Benner; Venera Khoromskaia; Boris N. Khoromskij
. The method is tested by three-dimensional (3D) electronic structure calculations. For the multigrid accelerated low Tucker-rank approximation of the all electron densities having strong nuclear cusps, we obtain high resolution of their 3D convolution product with the Newton potential. The accuracy of order
Computational Methods in Applied Mathematics Comput | 2011
Venera Khoromskaia; Boris N. Khoromskij; Reinhold Schneider
10^{-6}