Projects per year
Personal profile
Research interests
Please use my actual web page https://people.bath.ac.uk/sd901/ instead.
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, Tensor product methods in numerical simulation of high-dimensional dynamical problems, University of Leipzig
30 Jun 2011 → 20 Aug 2014
Award Date: 20 Aug 2014
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Collaborations and top research areas from the last five years
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Tensor decomposition sampling algorithms for Bayesian inverse problems
Dolgov, S. (PI)
Engineering and Physical Sciences Research Council
1/03/21 → 28/02/25
Project: Research council
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LMS funding for Workshop on Computational Mathematics for Quantum Technologies
Dolgov, S. (PI)
1/07/22 → 31/10/22
Project: UK charity
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Overcoming the curse of dimensionality in dynamic programming by tensor decompositions
Dolgov, S. (PI)
Engineering and Physical Sciences Research Council
10/05/21 → 9/05/23
Project: Research council
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Tensor product numerical methods for high-dimensional problems in probability and quantum calculations
Dolgov, S. (PI)
1/01/16 → 31/12/18
Project: Research council
Research output
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DEEP IMPORTANCE SAMPLING USING TENSOR TRAINS WITH APPLICATION TO A PRIORI AND A POSTERIORI RARE EVENTS
Cui, T., Dolgov, S. & Scheichl, R., 29 Feb 2024, In: SIAM Journal on Scientific Computing. 46, 1, p. C1-C29Research output: Contribution to journal › Article › peer-review
Open Access143 Downloads (Pure) -
Optimal Sparse Energy Sampling for X-ray Spectro-Microscopy: Reducing the X-ray Dose and Experiment Time Using Model Order Reduction
Quinn, P. D., Sabaté Landman, M., Davis, T., Freitag, M., Gazzola, S. & Dolgov, S., 22 Apr 2024, In: Chemical and Biomedical Imaging. 2, 4, p. 283-292 10 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Tensor product algorithms for inference of contact network from epidemiological data
Dolgov, S. & Savostyanov, D., 2 Sept 2024, In: BMC Bioinformatics. 25, 1, 285.Research output: Contribution to journal › Article › peer-review
Open Access -
TetraFEM: Numerical solution of partial differential equations using Tensor Train Finite Element Method
Kornev, E., Dolgov, S., Perelshtein, M. & Melnikov, A., 18 Oct 2024, In: Mathematics. 12, 20, 3277.Research output: Contribution to journal › Article › peer-review
Open Access -
TQCompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations
Abronin, V., Naumov, A., Mazur, D., Bystrov, D., Tsarova, K., Melnikov, A., Dolgov, S., Brasher, R. & Perelshein, M., 15 Oct 2024, Proceedings - 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval, MIPR 2024. U. S. A.: IEEE, p. 503-506 4 p.Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding