A Polynomial-Time Approximation Scheme for Minimum Routing Cost Spanning Trees
SIAM Journal on Computing
Using separation algorithms to generate mixed integer model reformulations
Operations Research Letters
Compacting cuts: a new linear formulation for minimum cut
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Compacting cuts: A new linear formulation for minimum cut
ACM Transactions on Algorithms (TALG)
Characterization of facets of the hop constrained chain polytope via dynamic programming
Discrete Applied Mathematics
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In this paper, we illustrate by means of examples a technique for formulating compact (i.e. polynomial-size) linear programming relaxations in place of exponential-size models requiring separation algorithms. In the same vein as a celebrated theorem by Grotschel, Lovasz and Schrijver, we state the equivalence of compact separation and compact optimization. Among the examples used to illustrate our technique, we introduce a new formulation for the traveling salesman problem, whose relaxation we show as an equivalent to the subtour elimination relaxation.