Arman Boyacı
Boğaziçi University
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workshop on graph theoretic concepts in computer science | 2013
Arman Boyacı; Tınaz Ekim; Mordechai Shalom; Shmuel Zaks
Given a tree and a set \(\mathcal{P}\) of non-trivial simple paths on it, Vpt(\(\mathcal{P}\)) is the VPT graph (i.e. the vertex intersection graph) of \(\mathcal{P}\), and Ept(\(\mathcal{P}\)) is the EPT graph (i.e. the edge intersection graph) of the paths \(\mathcal{P}\) of the tree T. These graphs have been extensively studied in the literature. Given two (edge) intersecting paths in a graph, their split vertices is the set of vertices having degree at least 3 in their union. A pair of (edge) intersecting paths is termed non-splitting if they do not have split vertices (namely if their union is a path). In this work, we define the graph Enpt(\(\mathcal{P}\)) of edge intersecting non-splitting paths of a tree, termed the ENPT graph, as the (edge) graph having a vertex for each path in \(\mathcal{P}\), and an edge between every pair of paths that are both edge-intersecting and non-splitting. A graph G is an ENPT graph if there is a tree T and a set of paths \(\mathcal{P}\) of T such that G = Ept \(\mathcal{P}\), and we say that 〈T, ,\(\mathcal{P}\)〉 is a representation of G. We show that trees, cycles and complete graphs are ENPT graphs. We characterize the representations of chordless ENPT cycles that satisfy a certain assumption. Unlike chordless EPT cycles which have a unique representation, these representations turn out to be multiple and have a more complex structure. Therefore, in order to give this characterization, we assume the EPT graph induced by the vertices of a chordless ENPT cycle is given, and we provide an algorithm that returns the unique representation of this EPT, ENPT pair of graphs. These representations turn out to have a more complex structure than chordless EPT cycles.
Journal of Combinatorial Optimization | 2018
Arman Boyacı; Tınaz Ekim; Mordechai Shalom
A co-bipartite chain graph is a co-bipartite graph in which the neighborhoods of the vertices in each clique can be linearly ordered with respect to inclusion. It is known that the maximum cardinality cut problem (
Theoretical Computer Science | 2016
Arman Boyacı; Tınaz Ekim; Mordechai Shalom; Shmuel Zaks
Discrete Applied Mathematics | 2016
Arman Boyacı; Tınaz Ekim; Mordechai Shalom; Shmuel Zaks
{\textsc {MaxCut}}
Information Processing Letters | 2017
Arman Boyacı; Tınaz Ekim; Mordechai Shalom
Electronic Notes in Discrete Mathematics | 2017
Arman Boyacı; Jérôme Monnot
MAXCUT) is
Discrete Mathematics & Theoretical Computer Science | 2018
Arman Boyacı; Tınaz Ekim; Mordechai Shalom; Shmuel Zaks
Discrete Mathematics & Theoretical Computer Science | 2017
Arman Boyacı; Tınaz Ekim; Mordechai Shalom; Shmuel Zaks
{\textsc {NP}}{\text {-hard}}
arXiv: Discrete Mathematics | 2015
Arman Boyacı; Tınaz Ekim; Mordechai Shalom
arXiv: Data Structures and Algorithms | 2015
Arman Boyacı; Tınaz Ekim; Mordechai Shalom
NP-hard in co-bipartite graphs (Bodlaender and Jansen, Nordic J Comput 7(2000):14–31, 2000). We consider