A stable primal–dual approach for linear programming under nondegeneracy assumptions
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DOI: 10.1007/s10589-007-9157-2
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- Erling D. Andersen & Yinyu Ye, 1996. "Combining Interior-Point and Pivoting Algorithms for Linear Programming," Management Science, INFORMS, vol. 42(12), pages 1719-1731, December.
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Cited by:
- Im, Haesol & Wolkowicz, Henry, 2023. "Revisiting degeneracy, strict feasibility, stability, in linear programming," European Journal of Operational Research, Elsevier, vol. 310(2), pages 495-510.
- María Gonzalez-Lima & Aurelio Oliveira & Danilo Oliveira, 2013. "A robust and efficient proposal for solving linear systems arising in interior-point methods for linear programming," Computational Optimization and Applications, Springer, vol. 56(3), pages 573-597, December.
- Milan Dražić & Rade Lazović & Vera Kovačević-Vujčić, 2015. "Sparsity preserving preconditioners for linear systems in interior-point methods," Computational Optimization and Applications, Springer, vol. 61(3), pages 557-570, July.
- Levent Tunçel & Henry Wolkowicz, 2012. "Strong duality and minimal representations for cone optimization," Computational Optimization and Applications, Springer, vol. 53(2), pages 619-648, October.
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Keywords
Linear programming; Large sparse problems; Preconditioned conjugate gradients; Stability;All these keywords.
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