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In applied mathematics, the '''devex algorithm''' is a pivot rule for the [[simplex method]] developed by Harris.<ref>Harris, Paula MJ. "Pivot selection methods of the Devex LP code." Mathematical programming 5.1 (1973): 1–28.</ref> It identifies the steepest-edge approximately in its search for the optimal solution.<ref>Forrest, John J., and Donald Goldfarb. "Steepest-edge simplex algorithms for linear programming." Mathematical programming 57.1–3 (1992): 341–374.</ref> |
In applied mathematics, the '''devex algorithm''' is a pivot rule for the [[simplex method]] developed by Harris.<ref>Harris, Paula MJ. "[https://link.springer.com/article/10.1007/BF01580108 Pivot selection methods of the Devex LP code]." Mathematical programming 5.1 (1973): 1–28.</ref> It identifies the steepest-edge approximately in its search for the optimal solution.<ref>Forrest, John J., and Donald Goldfarb. "[https://link.springer.com/article/10.1007/BF01581089 Steepest-edge simplex algorithms for linear programming]." Mathematical programming 57.1–3 (1992): 341–374.</ref> |
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==References== |
==References== |
Revision as of 00:20, 14 February 2018
This article needs additional citations for verification. (August 2013) |
In applied mathematics, the devex algorithm is a pivot rule for the simplex method developed by Harris.[1] It identifies the steepest-edge approximately in its search for the optimal solution.[2]
References
- ^ Harris, Paula MJ. "Pivot selection methods of the Devex LP code." Mathematical programming 5.1 (1973): 1–28.
- ^ Forrest, John J., and Donald Goldfarb. "Steepest-edge simplex algorithms for linear programming." Mathematical programming 57.1–3 (1992): 341–374.