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Aurelio R. L. Oliveira
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2020 – today
- 2023
- [j20]Cecilia Orellana Castro
, Manolo Rodriguez Heredia, Aurelio R. L. Oliveira:
Recycling basic columns of the splitting preconditioner in interior point methods. Comput. Optim. Appl. 86(1): 49-78 (2023) - 2022
- [c2]Wellington Rodrigues
A Note on Matrix Reordering for Linear System Solutions by Iterative Methods in Interior Point Methods. OR 2022: 79-85 - 2021
- [j19]Lino M. Silva
Modified controlled Cholesky factorization for preconditioning linear systems from the interior-point method. Comput. Appl. Math. 40(4) (2021) - [j18]Petra Maria Bartmeyer
Switching preconditioners using a hybrid approach for linear systems arising from interior point methods for linear programming. Numer. Algorithms 86(1): 397-424 (2021) - 2020
- [j17]Manolo Rodriguez Heredia
A new proposal to improve the early iterations in the interior point method. Ann. Oper. Res. 287(1): 185-208 (2020) - [j16]Paula A. Kikuchi
New Preconditioners Applied to Linear Programming and the Compressive Sensing Problems. Oper. Res. Forum 1(4) (2020)
2010 – 2019
- 2019
- [j15]Luiz-Rafael Santos
Optimized choice of parameters in interior-point methods for linear programming. Comput. Optim. Appl. 73(2): 535-574 (2019) - [j14]Luciana Casacio
Interior point methods for power flow optimization with security constraints. Int. Trans. Oper. Res. 26(1): 364-378 (2019) - 2018
- [j13]Luciana Casacio
Using groups in the splitting preconditioner computation for interior point methods. 4OR 16(4): 401-410 (2018) - [j12]S. M. S. Carvalho, Aurelio R. L. Oliveira, Christiano Lyra
Predispatch of hydroelectric power systems with modifications in network topologies. Ann. Oper. Res. 261(1-2): 135-153 (2018) - 2017
- [j11]Porfirio Suñagua, Aurelio R. L. Oliveira:
A new approach for finding a basis for the splitting preconditioner for linear systems from interior point methods. Comput. Optim. Appl. 67(1): 111-127 (2017) - [j10]Luciana Casacio
Improving the preconditioning of linear systems from interior point methods. Comput. Oper. Res. 85: 129-138 (2017) - [j9]Lilian F. Berti
A variation on the interior point method for linear programming using the continued iteration. Math. Methods Oper. Res. 85(1): 61-75 (2017) - [j8]Daniele Silva
Influence of matrix reordering on the performance of iterative methods for solving linear systems arising from interior point methods for linear programming. Math. Methods Oper. Res. 85(1): 97-112 (2017) - [c1]Marta Velazco, Aurelio R. L. Oliveira:
Computing the Splitting Preconditioner for Interior Point Method Using an Incomplete Factorization Approach. OR 2017: 97-103 - 2013
- [j7]María D. González-Lima
A robust and efficient proposal for solving linear systems arising in interior-point methods for linear programming. Comput. Optim. Appl. 56(3): 573-597 (2013) - [j6]Silvana Bocanegra, Jordi Castro
Improving an interior-point approach for large block-angular problems by hybrid preconditioners. Eur. J. Oper. Res. 231(2): 263-273 (2013) - 2012
- [j5]Marta I. Velazco Fontova, Aurelio R. L. Oliveira, Christiano Lyra
Hopfield neural networks in large-scale linear optimization problems. Appl. Math. Comput. 218(12): 6851-6859 (2012) - 2010
- [j4]Marta I. Velazco Fontova, Aurelio R. L. Oliveira, F. F. Campos:
A note on hybrid preconditioners for large-scale normal equations arising from interior-point methods. Optim. Methods Softw. 25(2): 321-332 (2010)
2000 – 2009
- 2009
- [j3]Anibal Tavares de Azevedo
Interior point method for long-term generation scheduling of large-scale hydrothermal systems. Ann. Oper. Res. 169(1): 55-80 (2009) - 2007
- [j2]Silvana Bocanegra, F. F. Campos, Aurelio R. L. Oliveira:
Using a hybrid preconditioner for solving large-scale linear systems arising from interior point methods. Comput. Optim. Appl. 36(2-3): 149-164 (2007) - [j1]Marta I. Velazco Fontova, Aurelio R. L. Oliveira, Christiano Lyra
Warm start by Hopfield neural networks for interior point methods. Comput. Oper. Res. 34(9): 2553-2561 (2007)
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