TY - GEN
T1 - Structural parameterizations with modulator oblivion
AU - Jacob, Ashwin
AU - Panolan, Fahad
AU - Raman, Venkatesh
AU - Sahlot, Vibha
N1 - Publisher Copyright:
© Ashwin Jacob, Fahad Panolan, Venkatesh Raman, and Vibha Sahlot;
PY - 2020/12/4
Y1 - 2020/12/4
N2 - It is known that problems like Vertex Cover, Feedback Vertex Set and Odd Cycle Transversal are polynomial time solvable in the class of chordal graphs. We consider these problems in a graph that has at most k vertices whose deletion results in a chordal graph, when parameterized by k. While this investigation fits naturally into the recent trend of what are called “structural parameterizations”, here we assume that the deletion set is not given. One method to solve them is to compute a k-sized or an approximate (f(k) sized, for a function f) chordal vertex deletion set and then use the structural properties of the graph to design an algorithm. This method leads to at least kO(k)nO(1) running time when we use the known parameterized or approximation algorithms for finding a k-sized chordal deletion set on an n vertex graph. In this work, we design 2O(k)nO(1) time algorithms for these problems. Our algorithms do not compute a chordal vertex deletion set (or even an approximate solution). Instead, we construct a tree decomposition of the given graph in time 2O(k)nO(1) where each bag is a union of four cliques and O(k) vertices. We then apply standard dynamic programming algorithms over this special tree decomposition. This special tree decomposition can be of independent interest. Our algorithms are, what are sometimes called permissive in the sense that given an integer k, they detect whether the graph has no chordal vertex deletion set of size at most k or output the special tree decomposition and solve the problem. We also show lower bounds for the problems we deal with under the Strong Exponential Time Hypothesis (SETH).
AB - It is known that problems like Vertex Cover, Feedback Vertex Set and Odd Cycle Transversal are polynomial time solvable in the class of chordal graphs. We consider these problems in a graph that has at most k vertices whose deletion results in a chordal graph, when parameterized by k. While this investigation fits naturally into the recent trend of what are called “structural parameterizations”, here we assume that the deletion set is not given. One method to solve them is to compute a k-sized or an approximate (f(k) sized, for a function f) chordal vertex deletion set and then use the structural properties of the graph to design an algorithm. This method leads to at least kO(k)nO(1) running time when we use the known parameterized or approximation algorithms for finding a k-sized chordal deletion set on an n vertex graph. In this work, we design 2O(k)nO(1) time algorithms for these problems. Our algorithms do not compute a chordal vertex deletion set (or even an approximate solution). Instead, we construct a tree decomposition of the given graph in time 2O(k)nO(1) where each bag is a union of four cliques and O(k) vertices. We then apply standard dynamic programming algorithms over this special tree decomposition. This special tree decomposition can be of independent interest. Our algorithms are, what are sometimes called permissive in the sense that given an integer k, they detect whether the graph has no chordal vertex deletion set of size at most k or output the special tree decomposition and solve the problem. We also show lower bounds for the problems we deal with under the Strong Exponential Time Hypothesis (SETH).
KW - Chordal Graph
KW - Parameterized Complexity
KW - Strong Exponential Time Hypothesis
KW - Tree Decomposition
UR - https://www.scopus.com/pages/publications/85101427749
U2 - 10.4230/LIPIcs.IPEC.2020.19
DO - 10.4230/LIPIcs.IPEC.2020.19
M3 - Conference contribution
AN - SCOPUS:85101427749
T3 - Leibniz International Proceedings in Informatics, LIPIcs
SP - 19:1--19:18
BT - 15th International Symposium on Parameterized and Exact Computation, IPEC 2020
A2 - Cao, Yixin
A2 - Pilipczuk, Marcin
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 15th International Symposium on Parameterized and Exact Computation, IPEC 2020
Y2 - 14 December 2020 through 18 December 2020
ER -