Feasible Bases for a Polytope Related to the Hamilton Cycle Problem

Author(s)
Kalinowski, Thomas
Mohammadian, Sogol
Publication Date
2021-11
Abstract
<p>We study a certain polytope depending on a graph G and a parameter <i>β</i> ∈ (0,1) that arises from embedding the Hamiltonian cycle problem in a discounted Markov decision process. Literature suggests a conjecture a lower bound on the proportion of feasible bases corresponding to Hamiltonian cycles in the set of all feasible bases. We make progress toward a proof of the conjecture by proving results about the structure of feasible bases. In particular, we prove three main results: (1) the set of feasible bases is independent of the parameter <i>β</i> when the parameter is close to one, (2) the polytope can be interpreted as a generalized network flow polytope, and (3) we deduce a combinatorial interpretation of the feasible bases. We also provide a full characterization for a special class of feasible bases, and we apply this to provide some computational support for the conjecture.</p>
Citation
Mathematics of Operations Research, 46(4), p. 1366-1389
ISSN
1526-5471
0364-765X
Link
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Title
Feasible Bases for a Polytope Related to the Hamilton Cycle Problem
Type of document
Journal Article
Entity Type
Publication

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