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Regularization methods for the construction of preconditioners for saddle point problems

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    0559346 - ÚGN 2023 RIV SK eng C - Conference Paper (international conference)
    Axelsson, Owe
    Regularization methods for the construction of preconditioners for saddle point problems.
    Proceedings of The Conference Algoritmy 2020. Bratislava: Slovak University of Technology in Bratislava, 2020 - (Frolkovič, P.; Mikula, K.; Ševčovič, D.), s. 141-150. ISBN 978-80-227-5032-5.
    [Algoritmy 2020 - Conference on Scientific Computing /21./. Vysoké Tatry - Podbanské (SK), 10.09.2020-15.09.2020]
    R&D Projects: GA MŠMT LQ1602
    Institutional support: RVO:68145535
    Keywords : saddle-point * regularization * preconditioners
    OECD category: Applied mathematics
    http://www.iam.fmph.uniba.sk/amuc/ojs/index.php/algoritmy/article/download/1576/828

    For the iterative solution of saddle point problems one needs efficient preconditioners to achieve a fast convergence. Three types of preconditioners are presented which are based on regularization by use of an augmented matrix. They are applicable also for problems with a highly singular pivot block matrix. One of the methods is applicable also for nonsymmetric saddle point problems.
    Permanent Link: https://hdl.handle.net/11104/0332685

     
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