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{{refimprove|date=August 2013}}
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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. "[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>
In applied mathematics, the '''devex algorithm''' is a pivot rule for the [[simplex method]] developed by Paula M. J. 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>


==References==
==References==

Latest revision as of 10:56, 25 November 2019

In applied mathematics, the devex algorithm is a pivot rule for the simplex method developed by Paula M. J. Harris.[1] It identifies the steepest-edge approximately in its search for the optimal solution.[2]

References

[edit]
  1. ^ Harris, Paula MJ. "Pivot selection methods of the Devex LP code." Mathematical programming 5.1 (1973): 1–28.
  2. ^ Forrest, John J., and Donald Goldfarb. "Steepest-edge simplex algorithms for linear programming." Mathematical programming 57.1–3 (1992): 341–374.