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Klee-Minty’s LP and upper bounds for Dantzig’s simplex method
Authors:Tomonari Kitahara  Shinji Mizuno
Affiliation:
  • a Graduate School of Decision Science and Technology, Tokyo Institute of Technology, 2-12-1-W9-62, Ookayama, Meguro-ku, Tokyo, 152-8552, Japan
  • b Graduate School of Decision Science and Technology, Tokyo Institute of Technology, 2-12-1-W9-58, Ookayama, Meguro-ku, Tokyo, 152-8552, Japan
  • Abstract:
    Kitahara and Mizuno (2010) [2] get two upper bounds for the number of different basic feasible solutions generated by Dantzig’s simplex method. The size of the bounds highly depends on the ratio between the maximum and the minimum values of all the positive elements of basic feasible solutions. We show that the ratio for a simple variant of Klee-Minty’s LP is equal to the number of iterations by Dantzig’s simplex method for solving it.
    Keywords:Simplex method   Linear programming   Basic feasible solutions   Klee-Minty&rsquo  s LP
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