Regularization methods for the construction of preconditioners for saddle point problems

0559346 - ÚGN 2023 RIV SK eng C - Konferenční příspěvek (zahraniční konf.)
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]
Grant CEP: GA MŠMT LQ1602
Institucionální podpora: RVO:68145535
Klíčová slova: saddle-point * regularization * preconditioners
Obor OECD: 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.
Trvalý link: https://hdl.handle.net/11104/0332685