Sergey Dolgov

Dr

  • 6 WEST 1.25D

20142019
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Personal profile

Research interests

Numerical analysis, linear and multilinear algebra, matrix and tensor analysis, fast algorithms, tensor product formats, dynamical problems, stochastic models

Education/Academic qualification

Mathematics, Doctor rerum naturalium, University of Leipzig

30 Jun 201120 Aug 2014

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Tensors Engineering & Materials Science
Tensor Product Mathematics
Tensor Decomposition Mathematics
Tensor Mathematics
High-dimensional Mathematics
Model Order Reduction Mathematics
Minimal Energy Mathematics
Chemotaxis Mathematics

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Projects 2016 2018

Research Output 2014 2019

Open Access
File
Tensors
Maximum entropy methods
Probability density function
Mathematical operators
Decomposition
1 Citation (Scopus)
Open Access
Tensor Decomposition
Decomposition Algorithm
Conservation Laws
Tensors
Conservation

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

Dolgov, S. V., Kazeev, V. A. & Khoromskij, B. N., 1 Mar 2018, In : Mathematics and Computers in Simulation. 145, p. 136-155 20 p.

Research output: Contribution to journalArticle

Direct Product
Elliptic Equations
Tensor Product
Tensors
Tensor
6 Citations (Scopus)

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

Benner, P., Dolgov, S., Khoromskaia, V. & Khoromskij, B. N., 1 Apr 2017, In : Journal of Computational Physics. 334, p. 221-239 19 p.

Research output: Contribution to journalArticle

Open Access
File
iterative solution
Bethe-Salpeter equation
Tensors
eigenvalues
tensors

Low-rank solution to an optimization problem constrained by the Navier-Stokes equations

Dolgov, S. & Stoll, M., 2017, In : SIAM Journal on Scientific Computing. 39, 1, p. A255-A280

Research output: Contribution to journalArticle

Open Access
File
Model Order Reduction
Constrained Optimization Problem
Navier Stokes equations
Navier-Stokes Equations
PDE-constrained Optimization