Alternating minimal energy methods for linear systems in higher dimensions SV Dolgov, DV Savostyanov SIAM Journal on Scientific Computing 36 (5), A2248-A2271, 2014 | 314 | 2014 |
Solution of linear systems and matrix inversion in the TT-format S Dolgov, IV Oseledets SIAM J. Sci. Comput. 34 (5), A2718-A2739, 2011 | 226* | 2011 |
FAST SOLUTION OF PARABOLIC PROBLEMS IN THE TENSOR TRAIN/QUANTIZED TENSOR TRAIN FORMAT WITH INITIAL APPLICATION TO THE FOKKER–PLANCK EQUATION SV DOLGOV, BN KHOROMSKIJ, IV OSELEDETS SIAM J. of Sci. Comp. 34 (6), A3016-A3038, 2012 | 156* | 2012 |
Computation of extreme eigenvalues in higher dimensions using block tensor train format SV Dolgov, BN Khoromskij, IV Oseledets, DV Savostyanov Computer Physics Communications, 2014 | 125 | 2014 |
Simultaneous state‐time approximation of the chemical master equation using tensor product formats S Dolgov, B Khoromskij Numerical Linear Algebra with Applications 22 (2), 197-219, 2015 | 112* | 2015 |
Polynomial chaos expansion of random coefficients and the solution of stochastic partial differential equations in the tensor train format S Dolgov, BN Khoromskij, A Litvinenko, HG Matthies SIAM/ASA Journal on Uncertainty Quantification 3 (1), 1109-1135, 2015 | 104* | 2015 |
TT-GMRES: solution to a linear system in the structured tensor format SV Dolgov Russian Journal of Numerical Analysis and Mathematical Modelling 28 (2), 149-172, 2013 | 97 | 2013 |
Tensor decomposition methods for high-dimensional Hamilton--Jacobi--Bellman equations S Dolgov, D Kalise, KK Kunisch SIAM Journal on Scientific Computing 43 (3), A1625-A1650, 2021 | 91 | 2021 |
Superfast Fourier transform using QTT approximation S Dolgov, B Khoromskij, D Savostyanov Journal of Fourier Analysis and Applications 18 (5), 915-953, 2011 | 89* | 2011 |
TT-toolbox IV Oseledets, S Dolgov, V Kazeev, D Savostyanov, O Lebedeva, ... URL: http://oseledets. github. io/software, 2016 | 84* | 2016 |
Approximation and sampling of multivariate probability distributions in the tensor train decomposition S Dolgov, K Anaya-Izquierdo, C Fox, R Scheichl Statistics and Computing 30, 603-625, 2020 | 74 | 2020 |
Two-level QTT-Tucker format for optimized tensor calculus S Dolgov, B Khoromskij SIAM Journal on Matrix Analysis and Applications 34 (2), 593-623, 2013 | 68* | 2013 |
Low-rank solvers for unsteady Stokes-Brinkman optimal control problem with random data P Benner, S Dolgov, A Onwunta, M Stoll | 64 | 2015 |
A quantum-inspired approach to exploit turbulence structures N Gourianov, M Lubasch, S Dolgov, QY van den Berg, H Babaee, P Givi, ... Nature Computational Science 2 (1), 30-37, 2022 | 54 | 2022 |
Parallel cross interpolation for high-precision calculation of high-dimensional integrals S Dolgov, D Savostyanov Computer Physics Communications 246, 106869, 2020 | 53 | 2020 |
Fast tensor product solvers for optimization problems with fractional differential equations as constraints S Dolgov, JW Pearson, DV Savostyanov, M Stoll | 48 | 2014 |
Exact NMR simulation of protein-size spin systems using tensor train formalism DV Savostyanov, SV Dolgov, JM Werner, I Kuprov Physical Review B 90 (8), 085139, 2014 | 45 | 2014 |
A Hybrid Alternating Least Squares--TT-Cross Algorithm for Parametric PDEs S Dolgov, R Scheichl SIAM/ASA Journal on Uncertainty Quantification 7 (1), 260-291, 2019 | 38 | 2019 |
Parallel time-dependent variational principle algorithm for matrix product states P Secular, N Gourianov, M Lubasch, S Dolgov, SR Clark, D Jaksch Physical Review B 101 (23), 235123, 2020 | 32 | 2020 |
A tensor decomposition algorithm for large ODEs with conservation laws SV Dolgov Computational Methods in Applied Mathematics 19 (1), 23-38, 2019 | 32 | 2019 |