Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102099
Title: On the skeleton of the metric polytope
Authors: Deza, Antoine.
Fukuda, Komei.
Pasechnik, Dmitrii V.
Sato, Masanori.
Keywords: DRNTU::Science::Physics
Issue Date: 2001
Source: Deza, A., Fukuda, K., Pasechnik, D. V., & Sato, M. (2001). On the skeleton of the metric polytope. Discrete and Computational Geometry, 2098, 125-136.
Series/Report no.: Discrete and computational geometry
Abstract: We consider convex polyhedra with applications to well-known combinatorial optimization problems: the metric polytope m n and its relatives. For n ≤ 6 the description of the metric polytope is easy as m n has at most 544 vertices partitioned into 3 orbits; m 7 - the largest previously known instance - has 275 840 vertices but only 13 orbits. Using its large symmetry group, we enumerate orbitwise 1 550 825 600 vertices of the 28-dimensional metric polytope m s . The description consists of 533 orbits and is conjectured to be complete. The orbitwise incidence and adjacency relations are also given. The skeleton of m s could be large enough to reveal some general features of the metric polytope on n nodes. While the extreme connectivity of the cuts appears to be one of the main features of the skeleton of m n , we conjecture that the cut vertices do not form a cut-set. The combinatorial and computational applications of this conjecture are studied. In particular, a heuristic skipping the highest degeneracy is presented.
URI: https://hdl.handle.net/10356/102099
http://hdl.handle.net/10220/18804
DOI: 10.1007/3-540-47738-1_10
Schools: School of Physical and Mathematical Sciences 
Rights: © 2001 Springer. This is the author created version of a work that has been peer reviewed and accepted for publication by Discrete and Computational Geometry, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [https://dx.doi.org/10.1007/3-540-47738-1_10].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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