Hilbert bases and the facets of special knapsack polytopes
Mathematics of Operations Research
On the dimension of projected polyhedra
Discrete Applied Mathematics
A Polynomial-Time Algorithm for the Knapsack Problem with Two Variables
Journal of the ACM (JACM)
A Polynomial Algorithm for the Two-Variable Integer Programming Problem
Journal of the ACM (JACM)
Aggregation and Mixed Integer Rounding to Solve MIPs
Operations Research
Designing capacitated survivable networks: polyhedral analysis and algorithms
Designing capacitated survivable networks: polyhedral analysis and algorithms
Mixed Integer Formulations for a Short Sea Fuel Oil Distribution Problem
Transportation Science
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In this paper we discuss the polyhedral structure of several mixed integer sets involving two integer variables. We show that the number of the corresponding facet-defining inequalities is polynomial on the size of the input data and their coefficients can also be computed in polynomial time using a known algorithm [D. Hirschberg, C. Wong, A polynomial-time algorithm for the knapsack problem with two variables, Journal of the Association for Computing Machinery 23 (1) (1976) 147-154] for the two integer knapsack problem. These mixed integer sets may arise as substructures of more complex mixed integer sets that model the feasible solutions of real application problems. al application problems.