Sergey V. Dolgov

According to our database1, Sergey V. Dolgov authored at least 26 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis.
SIAM J. Sci. Comput., 2020

Approximation and sampling of multivariate probability distributions in the tensor train decomposition.
Stat. Comput., 2020

Parallel cross interpolation for high-precision calculation of high-dimensional integrals.
Comput. Phys. Commun., 2020

Functional Tucker approximation using Chebyshev interpolation.
CoRR, 2020

Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports.
CoRR, 2020

Efficient Structure-preserving Support Tensor Train Machine.
CoRR, 2020

Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format.
CoRR, 2020

Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis.
SIAM J. Sci. Comput., 2019

A Hybrid Alternating Least Squares-TT-Cross Algorithm for Parametric PDEs.
SIAM/ASA J. Uncertain. Quantification, 2019

Solving differential Riccati equations: A nonlinear space-time method using tensor trains.
CoRR, 2019

A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations.
CoRR, 2019

A Tensor Decomposition Algorithm for Large ODEs with Conservation Laws.
Comput. Methods Appl. Math., 2019

Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients.
Math. Comput. Simul., 2018

Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations.
SIAM J. Sci. Comput., 2017

Fast iterative solution of the Bethe-Salpeter eigenvalue problem using low-rank and QTT tensor approximation.
J. Comput. Phys., 2017

Erratum: Two-Level QTT-Tucker Format for Optimized Tensor Calculus.
SIAM J. Matrix Anal. Appl., 2016

Fast tensor product solvers for optimization problems with fractional differential equations as constraints.
Appl. Math. Comput., 2016

Simultaneous state-time approximation of the chemical master equation using tensor product formats.
Numer. Linear Algebra Appl., 2015

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format.
SIAM/ASA J. Uncertain. Quantification, 2015

Alternating Minimal Energy Methods for Linear Systems in Higher Dimensions.
SIAM J. Sci. Comput., 2014

Low-rank approximation in the numerical modeling of the Farley-Buneman instability in ionospheric plasma.
J. Comput. Phys., 2014

Computation of extreme eigenvalues in higher dimensions using block tensor train format.
Comput. Phys. Commun., 2014

Two-Level QTT-Tucker Format for Optimized Tensor Calculus.
SIAM J. Matrix Anal. Appl., 2013

Corrected One-Site Density Matrix Renormalization Group and Alternating Minimal Energy Algorithm.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013

Solution of Linear Systems and Matrix Inversion in the TT-Format.
SIAM J. Sci. Comput., 2012

Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker-Planck Equation.
SIAM J. Sci. Comput., 2012