S. V. Dolgov

发表

A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis

Martin Stoll, Alexandra Bünger, S. V. Dolgov, 2018, SIAM J. Sci. Comput..

Fast iterative solution of the Bethe-Salpeter eigenvalue problem using low-rank and QTT tensor approximation

Peter Benner, Boris N. Khoromskij, Venera Khoromskaia, 2016, J. Comput. Phys..

Fast tensor product solvers for optimization problems with fractional differential equations as constraints

Martin Stoll, S. V. Dolgov, John W. Pearson, 2016, Appl. Math. Comput..

Functional Tucker approximation using Chebyshev interpolation pdf

Daniel Kressner, S. V. Dolgov, Christoph Strössner, 2020, ArXiv.

Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients

Vladimir A. Kazeev, Boris N. Khoromskij, S. V. Dolgov, 2018, Math. Comput. Simul..

Corrected One-Site Density Matrix Renormalization Group and Alternating Minimal Energy Algorithm

S. V. Dolgov, Dmitry V. Savostyanov, D. Savostyanov, 2013, ENUMATH.

Simultaneous state-time approximation of the chemical master equation using tensor product formats

Boris N. Khoromskij, S. V. Dolgov, 2015, Numer. Linear Algebra Appl..

Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations

Martin Stoll, S. V. Dolgov, M. Stoll, 2017, SIAM J. Sci. Comput..

ALTERNATING MINIMAL ENERGY METHODS FOR LINEAR SYSTEMS IN HIGHER DIMENSIONS∗

S. V. Dolgov, Dmitry V. Savostyanov, D. Savostyanov, 2014 .