Sebastien Loisel

Dr

  • EH14 4AS

    United Kingdom

20082020

Research output per year

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Personal profile

Research interests

My main area of research is domain decomposition methods for solving large-scale problems in massively parallel environments.

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Research Output

Efficient algorithms for solving the p-Laplacian in polynomial time

Loisel, S., Oct 2020, In : Numerische Mathematik. 146, 2, p. 369-400 32 p.

Research output: Contribution to journalArticle

Open Access
File
  • On the convergence of an optimal Additive Schwarz method for parallel adaptive finite elements

    Loisel, S. & Nguyen, H., 1 Aug 2019, In : Journal of Computational and Applied Mathematics. 355, p. 193-200 8 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 5 Downloads (Pure)
    Open Access
    File
  • 1 Citation (Scopus)
    75 Downloads (Pure)

    Path-Following Method to Determine the Field of Values of a Matrix with High Accuracy

    Loisel, S. & Maxwell, P., 27 Nov 2018, In : SIAM Journal on Matrix Analysis and Applications. 39, 4, p. 1726-1749 24 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 2 Citations (Scopus)
    21 Downloads (Pure)

    An optimal Schwarz preconditioner for a class of parallel adaptive finite elements

    Loisel, S. & Nguyen, H., Sep 2017, In : Journal of Computational and Applied Mathematics. 321, p. 90–107 18 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 3 Citations (Scopus)
    25 Downloads (Pure)

    Prizes

    Heriot-Watt University Teaching Excellence Award for Global Learning and Teaching

    Adamopoulou, Panagiota-Maria (Recipient), Ptashnyk, Mariya (Recipient), Johnston, Desmond Alexander (Recipient), Saemann, Christian (Recipient), Weston, Robert Andrew (Recipient), Breit, Dominic (Recipient), Kevin J. Painter (Recipient), Loisel, Sebastien (Recipient), Lacey, Andrew Alfred (Recipient), Neil MacIntyre (Recipient), Louie Robertson (Recipient) & Lee Duncan (Recipient), 23 Oct 2019

    Prize: Other distinction