Minimum degree up to local complementation: Bounds, parameterized complexity, and exact algorithms

4Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The local minimum degree of a graph is the minimum degree that can be reached by means of local complementation. For any n, there exist graphs of order n which have a local minimum degree at least 0.189n, or at least 0.110n when restricted to bipartite graphs. Regarding the upper bound, we show that the local minimum degree is at most 3/8n+o(n) for general graphs and n/4 +o(n) for bipartite graphs, improving the known n/2 upper bound. We also prove that the local minimum degree is smaller than half of the vertex cover number (up to a logarithmic term). The local minimum degree problem is NP-Complete and hard to approximate. We show that this problem, even when restricted to bipartite graphs, is in W[2] and FPT-equivalent to the EvenSet problem, whose W[1]-hardness is a long standing open question. Finally, we show that the local minimum degree is computed by a O∗ (1.938n)-algorithm, and a O∗ (1.466n)-algorithm for the bipartite graphs.

Cite

CITATION STYLE

APA

Cattanéo, D., & Perdrix, S. (2015). Minimum degree up to local complementation: Bounds, parameterized complexity, and exact algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9472, pp. 259–270). Springer Verlag. https://doi.org/10.1007/978-3-662-48971-0_23

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free