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Combinatorial optimization with 2-joins

Authors: Trotignon, Nicolas; Kristina, Vuskovic;

Combinatorial optimization with 2-joins

Abstract

A 2-join is an edge cutset that naturally appears in decomposition of several classes of graphs closed under taking induced subgraphs, such as perfect graphs and claw-free graphs. In this paper we construct combinatorial polynomial time algorithms for finding a maximum weighted clique, a maximum weighted stable set and an optimal coloring for a class of perfect graphs decomposable by 2-joins: the class of perfect graphs that do not have a balanced skew partition, a 2-join in the complement, nor a homogeneous pair. The techniques we develop are general enough to be easily applied to finding a maximum weighted stable set for another class of graphs known to be decomposable by 2-joins, namely the class of even-hole-free graphs that do not have a star cutset. We also give a simple class of graphs decomposable by 2-joins into bipartite graphs and line graphs, and for which finding a maximum stable set is NP-hard. This shows that having holes all of the same parity gives essential properties for the use of 2-joins in computing stable sets.

Countries
France, United Kingdom
Keywords

FOS: Computer and information sciences, Combinatorial optimization, minimum stable set, Discrete Mathematics (cs.DM), Perfect graphs, 2-Join, Maximum clique, Berge graphs, Theoretical Computer Science, even-hole-free graphs, Even-hole-free graphs, maximum clique, FOS: Mathematics, Coloring, Discrete Mathematics and Combinatorics, Mathematics - Combinatorics, structure, coloring, perfect graphs, Decomposition, berge graphs, decomposition, Minimum stable set, Structure, 05C17, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Computational Theory and Mathematics, combinatorial optimization, Combinatorics (math.CO), 2-join, Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
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!
15
Average
Top 10%
Top 10%
Green
hybrid