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Mathematical Programming
Article . 1996 . Peer-reviewed
License: Springer TDM
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On the monotonization of polyhedra

Authors: E. Balas; FISCHETTI, MATTEO;

On the monotonization of polyhedra

Abstract

In polyhedral combinatorics one often has to analyze the facial structure of less than full dimensional polyhedra. The presence of implicit or explicit equations in the linear system defining such a polyhedron leads to technical difficulties when analyzing its facial structure. It is therefore customary to approach the study of such a polytope P through the study of one of its (full dimensional) relaxations (monotonizations) known as the submissive and the dominant of P. Finding sufficient conditions for an inequality that induces a facet of the submissive or the dominant of a polyhedron to also induce a facet of the polyhedron itself has been posed in the literature as an important research problem. Our paper goes a long way towards solving this problem. We address the problem in the framework of a generalized monotonization of a polyhedron P, g-mon (P), that subsumes both the submissive and the dominant, and give a sufficient condition for an inequality that defines a facet of g-mon(P) to define a facet of P. For the important cases of the traveling salesman (TS) polytope in both its symmetric and asymmetric variants, and of the linear ordering polytope, we give sufficient conditions trivially easy to verify, for a facet of the monotone completion to define a facet of the original polytope itself..

Keywords

Combinatorial optimization, Submissive, Polyhedral combinatorics, submissive, Special polytopes (linear programming, centrally symmetric, etc.), traveling salesman, facial structure, Dominant, dominant, polyhedral combinatorics, generalized monotonization, Monotone polyhedra

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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