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Computing Kitahara–Mizuno’s bound on the number of basic feasible solutions generated with the simplex algorithm

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This paper addresses an upper bound derived by Kitahara and Mizuno (Math Program A 137:579–586, 2013) on the number of basic feasible solutions of a linear program generated with the simplex algorithm. Their bound includes two parameters \(\delta \) and \(\gamma \), which are respectively the minimum and the maximum values of positive components in all basic feasible solutions. We show that \(\delta \) is NP-hard to determine while \(\gamma \) can be computed in polynomial time. We also report some numerical results using alternative parameters for \(\delta \) and \(\gamma \).

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Correspondence to Takahito Kuno.

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Takahito Kuno: Partially supported by a Grant-in-Aid for Scientific Research (C) 16K00028 from the Japan Society for the Promotion of Sciences. Yoshio Sano: Partially supported by a Grant-in-Aid for Young Scientists (B) 15K20885 from the Japan Society for the Promotion of Sciences.

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Kuno, T., Sano, Y. & Tsuruda, T. Computing Kitahara–Mizuno’s bound on the number of basic feasible solutions generated with the simplex algorithm. Optim Lett 12, 933–943 (2018). https://doi.org/10.1007/s11590-018-1276-4

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  • DOI: https://doi.org/10.1007/s11590-018-1276-4

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