Tensor product numerical methods for high-dimensional problems in probability and quantum calculations

Project: Research council

Project Details

Description

Postdoctoral EPSRC Fellowship
StatusFinished
Effective start/end date1/01/16 → 31/12/18
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Research Output

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

Dolgov, S., Anaya-Izquierdo, K., Fox, C. & Scheichl, R., 31 Dec 2019, In : Statistics and Computing. 30, 3, p. 603-625 23 p.

Research output: Contribution to journal › Article

Open Access
    • 1 Citation (Scopus)

    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
    • 1 Citation (Scopus)
    17 Downloads (Pure)

    Greedy low-rank algorithm for spatial connectome regression

    Kürschner, P., Dolgov, S., Harris, K. D. & Benner, P., 1 Dec 2019, In : The Journal of Mathematical Neuroscience. 9, 1, 9.

    Research output: Contribution to journal › Article

    Open Access
    • 1 Citation (Scopus)