Total Coloring and Total Matching: Polyhedra and Facets
Luca Ferrarini, Stefano Gualandi

TL;DR
This paper develops ILP models and polyhedral studies for total coloring and total matching problems, introducing new inequalities and algorithms, with initial computational results demonstrating their effectiveness.
Contribution
It introduces new polyhedral inequalities and algorithms for total coloring and total matching, including facet-defining inequalities and a column generation approach.
Findings
Vertex-clique and even-clique inequalities are always facet-defining.
Congruent-2k3 cycle inequalities are facet-defining only when k=4.
Preliminary computational results show promising algorithm performance.
Abstract
A total coloring of a graph is an assignment of colors to vertices and edges such that neither two adjacent vertices nor two incident edges get the same color, and, for each edge, the end-points and the edge itself receive different colors. Any valid total coloring induces a partition of the elements of into total matchings, which are defined as subsets of vertices and edges that can take the same color. In this paper, we propose Integer Linear Programming models for both the Total Coloring and the Total Matching problems, and we study the strength of the corresponding Linear Programming relaxations. The total coloring is formulated as the problem of finding the minimum number of total matchings that cover all the graph elements. This covering formulation can be solved by a Column Generation algorithm, where the pricing subproblem corresponds to the Weighted Total…
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