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.

- 1 Similar Profiles

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 2020

11
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 32 p.Research output: Contribution to journal › Article

Open Access

File

Tensors

Maximum entropy methods

Probability density function

Mathematical operators

Decomposition

### Approximation and sampling of multivariate probability distributions in the tensor train decomposition

Dolgov, S., Anaya-Izquierdo, K., Fox, C. & Scheichl, R., 2 Nov 2019, In : Statistics and Computing.Research output: Contribution to journal › Article

Open Access

Tensor Decomposition

Multivariate Distribution

Rejection

Probability Distribution

Tensor

1
Citation
(Scopus)

4
Downloads
(Pure)

### A Tensor Decomposition Algorithm for Large ODEs with Conservation Laws

Dolgov, S. V., 1 Jan 2019, In : Computational Methods in Applied Mathematics. 19, 1, p. 23-38 16 p.Research output: Contribution to journal › Article

Open Access

File

Tensor Decomposition

Decomposition Algorithm

Conservation Laws

Tensors

Conservation

### Greedy low-rank algorithm for spatial connectome regression

Kürschner, P., Dolgov, S., Harris, K. D. & Benner, P., 26 Oct 2019, (Accepted/In press) In : The Journal of Mathematical Neuroscience.Research output: Contribution to journal › Article

Factorization

Brain

Experiments

### 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