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 Dive into the research topics where Sergey Dolgov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Tensors
Engineering & Materials Science
Tensor Decomposition
Mathematics
Tensor Product
Mathematics
Tensor
Mathematics
tensors
Physics & Astronomy
Model Order Reduction
Mathematics
Minimal Energy
Mathematics
iterative solution
Physics & Astronomy
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 Output 2014 2019
9
Downloads
(Pure)
A hybrid Alternating Least Squares - TT Cross algorithm for parametric PDEs
Dolgov, S. & Scheichl, R., 2019, In : SIAM/ASA Journal on Uncertainty Quantification. 7, 1, p. 260-291 28 p.Research output: Contribution to journal › Article
Open Access
File
Tensors
Maximum entropy methods
Probability density function
Mathematical operators
Decomposition
Guaranteed a posteriori error bounds for low rank tensor approximate solutions
Dolgov, S. & Vejchodský, T., 21 May 2019, In : arXiv. 1905.08572Research output: Contribution to journal › Article
File
Parallel cross interpolation for high--precision calculation of high-dimensional integrals
Dolgov, S. & Savostyanov, D., 20 Aug 2019, (Accepted/In press) In : Computer Physics Communications. acceptedResearch output: Contribution to journal › Article
Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis
Dolgov, S. & Pearson, J. W., 19 Aug 2019, (Accepted/In press) In : SIAM Journal on Scientific Computing. acceptedResearch output: Contribution to journal › Article
Open Access
File
Chemotaxis
Preconditioner
Tensor Product
Optimal Control Problem
Saddle Point Systems
Tensor Product Approach to Quantum Control
Quiñones-Valles, D., Dolgov, S. & Savostyanov, D., 19 Jul 2019, Integral Methods in Science and Engineering: Analytic Treatment and Numerical Approximations. Constanda, C. & Harris, P. (eds.). Springer International Publishing, p. 367-379 13 p. Chapter 29Research output: Chapter in Book/Report/Conference proceeding › Chapter