Projects per year
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 2011 → 20 Aug 2014
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 6 Similar Profiles
Tensors
Engineering & Materials Science
Tensor Product
Mathematics
Tensor Decomposition
Mathematics
Tensor
Mathematics
High-dimensional
Mathematics
Model Order Reduction
Mathematics
Minimal Energy
Mathematics
Chemotaxis
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2016 2018
- 1 Finished
Tensor product numerical methods for high-dimensional problems in probability and quantum calculations
1/01/16 → 31/12/18
Project: Research council › Research
Research Output 2014 2018
A hybrid Alternating Least Squares - TT Cross algorithm for parametric PDEs
Dolgov, S. & Scheichl, R., 26 Dec 2018, (Accepted/In press) In : SIAM/ASA Journal on Uncertainty Quantification. 28 p.Research output: Contribution to journal › Article
Open Access
File
Tensors
Maximum entropy methods
Probability density function
Mathematical operators
Decomposition
1
Citations
(Scopus)
A Tensor Decomposition Algorithm for Large ODEs with Conservation Laws
Dolgov, S. V., 11 Sep 2018, In : Computational Methods in Applied Mathematics.Research output: Contribution to journal › Article
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 journal › Article
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 journal › Article
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-A280Research output: Contribution to journal › Article
Open Access
File
Model Order Reduction
Constrained Optimization Problem
Navier Stokes equations
Navier-Stokes Equations
PDE-constrained Optimization