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, University of Leipzig
30 Jun 2011 → 20 Aug 2014
Award Date: 20 Aug 2014
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Network
Projects
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Tensor decomposition sampling algorithms for Bayesian inverse problems
Engineering and Physical Sciences Research Council
1/01/21 → 31/12/23
Project: Research council
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Overcoming the curse of dimensionality in dynamic programming by tensor decompositions
3/01/21 → 2/01/23
Project: Research council
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Tensor product numerical methods for high-dimensional problems in probability and quantum calculations
1/01/16 → 31/12/18
Project: Research council
Research Output
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A low-rank tensor method for PDE-constrained optimization with isogeometric analysis
Bunger, A., Dolgov, S. & Stoll, M., 2020, In: SIAM Journal on Scientific Computing. 42, 1, p. A140-A161 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Guaranteed a posteriori error bounds for low-rank tensor approximate solutions
Dolgov, S. & Vejchodský, T., 9 Jun 2020, In: IMA Journal of Numerical Analysis. draa010.Research output: Contribution to journal › Article › peer-review
Open Access -
Low-rank solution of an optimal control problem constrained by random Navier-Stokes equations
Benner, P., Dolgov, S., Onwunta, A. & Stoll, M., 13 May 2020, In: International Journal for Numerical Methods in Fluids.Research output: Contribution to journal › Article › peer-review
Open Access -
Parallel cross interpolation for high--precision calculation of high-dimensional integrals
Dolgov, S. & Savostyanov, D., 1 Jan 2020, In: Computer Physics Communications. 246, p. 1-15 15 p., 106869.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Parallel time-dependent variational principle algorithm for matrix product states
Secular, P., Gourianov, N., Lubasch, M., Dolgov, S., Clark, S. & Jaksch, D., 15 Jun 2020, In: Physical Review B. 101, 23, 235123.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus)7 Downloads (Pure)