Results 31 to 40 of about 438 (125)
A Linear Recognition Algorithm for Cographs
Cographs are the graphs formed from a single vertex under the closure of the operations of union and complement. Another characterization of cographs is that they are the undirected graphs with no induced paths on four vertices. Cographs arise naturally in such application areas as examination scheduling and automatic clustering of index terms ...
Corneil, D. G., Perl, Y., Stewart, L. K.
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Exact and Heuristic Solution Approaches for the Cluster Deletion Problem on General Graphs
ABSTRACT A cluster graph is a disjoint union of cliques, obtained by clustering the nodes of a given network and then removing the edges between nodes assigned to different clusters. The Cluster Deletion problem asks for the smallest subset of edges to be removed from a network in order to produce a cluster graph, which is equivalent to determining the
Giuseppe Ambrosio +4 more
wiley +1 more source
On the Spectrum of Threshold Graphs
The antiregular connected graph on r vertices is defined as the connected graph whose vertex degrees take the values of r − 1 distinct positive integers. We explore the spectrum of its adjacency matrix and show common properties with those of connected threshold graphs, having an equitable partition with a minimal number r of parts.
Irene Sciriha +6 more
wiley +1 more source
Odd chromatic number of graph classes
Abstract A graph is called odd (respectively, even) if every vertex has odd (respectively, even) degree. Gallai proved that every graph can be partitioned into two even induced subgraphs, or into an odd and an even induced subgraph. We refer to a partition into odd subgraphs as an odd colouring of G $G$.
Rémy Belmonte +3 more
wiley +1 more source
An efficient g‐centroid location algorithm for cographs
In 1998, Pandu Rangan et al. Proved that locating the g‐centroid for an arbitrary graph is 𝒩𝒫‐hard by reducing the problem of finding the maximum clique size of a graph to the g‐centroid location problem. They have also given an efficient polynomial time algorithm for locating the g‐centroid for maximal outerplanar graphs, Ptolemaic graphs, and split ...
V. Prakash
wiley +1 more source
The rank of the adjacency matrix of a graph is bounded above by the number of distinct non-zero rows of that matrix. In general, the rank is lower than this number because there may be some non-trivial linear combination of the rows equal to zero. We show the somewhat surprising result that this never occurs for the class of cographs.
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The complexity of the perfect matching‐cut problem
Abstract PERFECT MATCHING‐CUT is the problem of deciding whether a graph has a perfect matching that contains an edge‐cut. We show that this problem is NP‐complete for planar graphs with maximum degree four, for planar graphs with girth five, for bipartite five‐regular graphs, for graphs of diameter three, and for bipartite graphs of diameter four.
Valentin Bouquet, Christophe Picouleau
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Siblings of countable cographs
We show that every countable cograph has either one or infinitely many siblings. This answers, very partially, a conjecture of Thomass . The main tools are the notion of well quasi ordering and the correspondence between cographs and some labelled ordered trees.
Gena, Hahn +2 more
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On the Edge‐Density of the Brownian Co‐Graphon and Common Ancestors of Pairs in the CRT
ABSTRACT Bassino et al. have shown that uniform random co‐graphs (graphs without induced P4$$ {P}_4 $$) of size n$$ n $$ converge to a certain non‐deterministic graphon. The edge density of this graphon is a random variable Λ∈[0,1]$$ \boldsymbol{\Lambda} \in \left[0,1\right] $$ whose first moments have been computed by these authors.
Guillaume Chapuy
wiley +1 more source
Scheduling on uniform machines with a conflict graph: complexity and resolution
Abstract This paper deals with the problem of scheduling a set of unit‐time jobs on a set of uniform machines. The jobs are subject to conflict constraints modeled by a graph G called the conflict graph, in which adjacent jobs cannot be processed on a same machine.
Amin Mallek, Mourad Boudhar
wiley +1 more source

