3 citations · 5 across the 4 of their papers we have counts for
5 papers
Reduced Higher Order SVD: ubiquitous rank-reduction method in tensor-based scientific computing
Venera Khoromskaia, Boris N. Khoromskij
Tensor numerical methods, based on the rank-structured tensor representation of -variate functions and operators, are designed to provide complexity of numerical calcula…
Tensor numerical method for optimal control problems constrained by an elliptic operator with general rank-structured coefficients
Boris N. Khoromskij, Britta Schmitt, Volker Schulz
We introduce tensor numerical techniques for solving optimal control problems constrained by elliptic operators in , , with variable coefficients, which can be…
Tensor-based techniques for fast discretization and solution of 3D elliptic equations with random coefficients
Venera Khoromskaia, Boris N. Khoromskij
In this paper, we propose and analyze the numerical algorithms for fast solution of periodic elliptic problems in random media in , . We consider the stochasti…
Tensor Method for Optimal Control Problems Constrained by Fractional 3D Elliptic Operator with Variable Coefficients
Britta Schmitt, Boris N. Khoromskij, Venera Khoromskaia +1
We introduce the tensor numerical method for solving optimal control problems that are constrained by fractional 2D and 3D elliptic operators with variable coefficients. We solve t…
Tensor product method for fast solution of optimal control problems with fractional multidimensional Laplacian in constraints
Gennadij Heidel, Venera Khoromskaia, Boris N. Khoromskij +1
We introduce the tensor numerical method for solution of the -dimensional optimal control problems with fractional Laplacian type operators in constraints discretized on large $…