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dc.contributor.authorAraque, Jésus Rafaelen_US
dc.contributor.authorHall, Leslie A.en_US
dc.contributor.authorMagnanti, Thomas L.en_US
dc.date.accessioned2004-05-28T19:27:25Z
dc.date.available2004-05-28T19:27:25Z
dc.date.issued1990-11en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5194
dc.description.abstractWe study the polyhedral structure of two related core combinatorial problems: the subtree cardinalityconstrained minimal spanning tree problem and the identical customer vehicle routing problem. For each of these problems, and for a forest relaxation of the minimal spanning tree problem, we introduce a number of new valid inequalities and specify conditions for ensuring when these inequalities are facets for the associated integer polyhedra. The inequalities are defined by one of several underlying support graphs: (i) a multistar, a "star" with a clique replacing the central vertex; (ii) a clique cluster, a collection of cliques intersecting at a single vertex, or more generally at a central" clique; and (iii) a ladybug, consisting of a multistar as a head and a clique as a body. We also consider packing (generalized subtour elimination) constraints, as well as several variants of our basic inequalities, such as partial multistars, whose satellite vertices need not be connected to all of the central vertices. Our development highlights the relationship between the capacitated tree and capacitated forest polytopes and a so-called path-partitioning polytope,and shows how to use monotone polytopes and a set of simple exchange arguments to prove that valid inequalities are facets.en_US
dc.format.extent1744 bytes
dc.format.extent3642903 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherMassachusetts Institute of Technology, Operations Research Centeren_US
dc.relation.ispartofseriesOperations Research Center Working Paper;OR 232-90en_US
dc.titleCapacitated Trees, Capacitated Routing, and Associated Polyhedraen_US
dc.typeWorking Paperen_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center


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