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It is well known that simplex algorithm runs in exponential time in worst case.

  1. However are there situations (necessary and sufficient conditions) where simplex algorithm runs in polynomial time?

  2. In particular does the simplex algorithm run in polynomial time on Bipartite Perfect matching polytopes and other non-trivial examples?

Good references are welcome.

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  • $\begingroup$ You may start with reading the paper by Brightwell, Van den Heuvel, Stougie: "A linear bound on the diameter of the transportation polytope." Combinatorica 26:133-139 (2006). $\endgroup$ – Gamow May 23 at 9:30
  • $\begingroup$ @Gamow How is transportation polytope related to BPMP? Also how does diameter affect complexity of simplex algorithm? $\endgroup$ – T.... May 23 at 9:31
  • $\begingroup$ Take $m=n$ and $c_j =1, r_i = 1$ for all $j,i$. The simplex visits vertices of the polytope. $\endgroup$ – PsySp May 23 at 11:17
  • $\begingroup$ See network simplex. en.wikipedia.org/wiki/Network_simplex_algorithm $\endgroup$ – Chandra Chekuri May 23 at 19:03
  • $\begingroup$ @ChandraChekuri Not sure if network simplex is a linear programming technique. Or an algorithm through graph theory which is inspired from simplex. With simplex we know for sure it is lp algorithm. Given linear conditions and objective we optimize. The essential problem here is then if the polytope is from bipartite graph then do we run in polynomial time. $\endgroup$ – T.... May 23 at 22:22

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