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20132022
most citedComputation of extreme eigenvalues in higher dimensions using block tensor train format

102 citations · 329 across the 25 of their papers we have counts for

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Showing 2014Show all

6 papers · 1 filter

math.NA2014★ 3 cited

Tucker tensor method for fast grid-based summation of long-range potentials on 3D lattices with defects

Venera Khoromskaia, Boris N. Khoromskij

In this paper, we present a method for fast summation of long-range potentials on 3D lattices with multiple defects and having non-rectangular geometries, based on rank-structured…

math.NA2014★ 9 cited

Tensor Numerical Methods for High-dimensional PDEs: Basic Theory and Initial Applications

Boris N. Khoromskij

We present a brief survey on the modern tensor numerical methods for multidimensional stationary and time-dependent partial differential equations (PDEs). The guiding principle of…

math.NA2014★ 2 cited

Tensor Numerical Approach to Linearized Hartree-Fock Equation for Lattice-type and Periodic Systems

Venera Khoromskaia, Boris N. Khoromskij

This paper introduces and analyses the new grid-based tensor approach for approximate solution of the eigenvalue problem for linearized Hartree-Fock equation applied to the 3D latt…

math.NA2014

Efficient computation of highly oscillatory integrals by using QTT tensor approximation

Boris Khoromskij, Alexander Veit

We propose a new method for the efficient approximation of a class of highly oscillatory weighted integrals where the oscillatory function depends on the frequency parameter $ω\geq…

math.NA2014★ 23 cited

Computation of the Response Surface in the Tensor Train data format

Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko +1

We apply the Tensor Train (TT) approximation to construct the Polynomial Chaos Expansion (PCE) of a random field, and solve the stochastic elliptic diffusion PDE with the stochasti…

math.NA2014★ 35 cited

Grid-based lattice summation of electrostatic potentials by assembled rank-structured tensor approximation

Venera Khoromskaia, Boris N. Khoromskij

We introduce and study a novel tensor approach for fast and accurate assembled summation of a large number of lattice-allocated potentials represented on 3D gr…