<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In this paper we survey our work on preconditioners based on the Inverse Sherman-Morrison factorization. The most important theoretical results are also summarized and some numerical conclusions are provided.</p></abstract>

In this paper we survey our work on preconditioners based on the Inverse Sherman-Morrison factorization. The most important theoretical results are also summarized and some numerical conclusions are provided.

Preconditioners based on the ISM factorization

Instituto de Matemática Multidisciplinar, Universitat Politécnica de Valencia, Camí de Vera s/n, 46022 Valencia,

Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod vodárenskouvěží 2, 182 07 Prague 8,

Analele ştiinţifice ale Universităţii "Ovidius" Constanţa. Seria Matematică

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Preconditioners based on the ISM factorization"}

In this paper we survey our work on preconditioners based on the Inverse Sherman-Morrison factorization. The most important theoretical results are also...

Preconditioners based on the ISM factorization

Publié en ligne: 22 avr. 2017

Pages: 17 - 27

Reçu: 01 nov. 2014

Accepté: 01 févr. 2015

DOI: https://doi.org/10.1515/auom-2015-0044

Mots clés
Preconditioned iterative methods, sparse matrices, incomplete decompositions, approximate inverses, Sherman-Morrison formula

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Preconditioners based on the ISM factorization

Publié en ligne: 22 avr. 2017

Pages: 17 - 27

Reçu: 01 nov. 2014

Accepté: 01 févr. 2015

DOI: https://doi.org/10.1515/auom-2015-0044

Mots clésPreconditioned iterative methods, sparse matrices, incomplete decompositions, approximate inverses, Sherman-Morrison formula

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
Preconditioned iterative methods, sparse matrices, incomplete decompositions, approximate inverses, Sherman-Morrison formula