MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Faster Parameterized Algorithms for Split Graph Deletion

Sudeshna Kolay
The Institute of Mathematical Sciences, Chennai, India
AG1 Mittagsseminar (own work)
AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI  
AG Audience
English

Date, Time and Location

Friday, 8 February 2013
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

An undirected graph is said to be split if its vertex set can be

partitioned into two sets such that the subgraph induced on one of them is
a complete graph and the subgraph induced on the other is an independent
set. We study the problem of deleting the minimum number of vertices
or edges from a given input graph so that the resulting graph is split.We
give efficient fixed-parameter algorithms and polynomial sized kernels for
the problem. More precisely,

1. for Split Vertex Deletion, the problem of determining whether there are
k vertices whose deletion results in a split graph, we give an
O(2^k)^4 algorithm improving on the previous best bound of
O(2.32^k ). We also give an O(k^3 )-sized kernel for the problem.

2. For Split Edge Deletion, the problem of determining whether there are k
edges whose deletion results in a split graph, we give an O(2^O(
k log k) ) algorithm. We also prove the existence of an O(k^2 )
kernel.

Contact

G Philip
--email hidden
passcode not visible
logged in users only

Geevarghese Philip, 02/06/2013 12:05 -- Created document.