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Solving (CGLP)k on the LP Simplex Tableau

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Abstract

The major practical consequence of the correspondence established in Theorems 8.4A/8.4B is that the cut generating linear program (CGLP)k need not be formulated and solved explicitly; instead, the procedure for solving it can be mimicked on the linear programming relaxation (LP) of the original mixed 0-1 problem.

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References

  1. E. Balas and M. Perregaard, A Precise Correspondence Between Lift-and-Project Cuts, Simple Disjunctive Cuts, and Mixed Integer Gomory Cuts for 0-1 Programming. Mathematical Programming B, 94, 2003, 221–245.

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  2. R.E. Bixby, S. Ceria, C.M. McZeal, M.W.P. Savelsbergh, An updated Mixed Integer Programming Library: MIPLIB 3.0. http://www.caam.rice.edu/~bixby/miplib/miplib.html.

  3. M. Perregaard, Generating disjunctive cuts for mixed integer programs. Ph.D. thesis, CMU, 2003.

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Balas, E. (2018). Solving (CGLP)k on the LP Simplex Tableau. In: Disjunctive Programming. Springer, Cham. https://doi.org/10.1007/978-3-030-00148-3_9

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