Title
Recognition and Optimization Algorithms for P5-Free Graphs
Abstract
The weighted independent set problem on P5-free graphs has numerous applications, including data mining and dispatching in railways. The recognition of P5-free graphs is executed in polynomial time. Many problems, such as chromatic number and dominating set, are NP-hard in the class of P5-free graphs. The size of a minimum independent feedback vertex set that belongs to a P5-free graph with n vertices can be computed in O(n16) time. The unweighted problems, clique and clique cover, are NP-complete and the independent set is polynomial. In this work, the P5-free graphs using the weak decomposition are characterized, as is the dominating clique, and they are given an O(n(n+m)) recognition algorithm. Additionally, we calculate directly the clique number and the chromatic number; determine in O(n) time, the size of a minimum independent feedback vertex set; and determine in O(n+m) time the number of stability, the dominating number and the minimum clique cover.
Year
DOI
Venue
2020
10.3390/sym12020304
SYMMETRY-BASEL
Keywords
DocType
Volume
P-5-free graphs,weak decomposition,recognition algorithm,optimization algorithm,symmetric graph
Journal
12
Issue
Citations 
PageRank 
2
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Mihai Talmaciu142.83
Luminita Dumitriu213.39
Ioan Susnea312.72
Victor Lepin400.34
Barna Laszlo Iantovics5198.47