The Use of the Elman Preconditioner in the Early Iterations of Interior Point Methods-Reference-Cited by-同舟云学术

The Use of the Elman Preconditioner in the Early Iterations of Interior Point Methods

Published:2022 Issue: Volume: Page:355-363
ISSN:2190-3018
Container-title:Proceedings of the 7th Brazilian Technology Symposium (BTSym’21)
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Author:

Sampaio Ingrid Araújo^ORCID,Iano Yuzo^ORCID,Oliveira Aurelio Ribeiro Leite de^ORCID,Silva Lino Marcos da^ORCID,Júnior Rinaldo Vieira da Silva^ORCID,Oliveira Gabriel Gomes de^ORCID,Vaz Gabriel Caumo^ORCID,Santos Polyane Alves^ORCID,Jordão Kelem Christine Pereira^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08545-1_34

Reference9 articles.

1. Czyzyk, J., Mehrotra, S., Wagner, M., Wright, S.J.: PCx: an interior-point code for linear programming. Optim. Methods Softw. 11(1–4), 397–430 (1999)

2. Gondzio, J.: Multiple centrality corrections in a primal-dual method for linear programming. Comput. Optim. Appl. 6(2), 137–156 (1996). https://doi.org/10.1007/BF00249643

3. Mehrotra, S.: On the implementation of a primal-dual interior point method. SIAM J. Optim. 2(4), 575–601 (1992)

4. Oliveira, A.R.L., Sorensen, D.C.: A new class of preconditioners for large-scale linear systems from interior point methods for linear programming. Linear Algebra Appl. 394, 1–24 (2005)

5. Velazco, M.I., Oliveira, A.R.L., Campos, F.F.: A note on hybrid preconditioners for large-scale normal equations arising from interior-point methods. Optim. Methods Softw. 25(2), 321–332 (2010)

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