DocumentCode
2434028
Title
Planar F-Deletion: Approximation, Kernelization and Optimal FPT Algorithms
Author
Fomin, Fedor V. ; Lokshtanov, Daniel ; Misra, Neeldhara ; Saurabh, Saket
Author_Institution
Univ. of Bergen, Bergen, Norway
fYear
2012
fDate
20-23 Oct. 2012
Firstpage
470
Lastpage
479
Abstract
Let F be a finite set of graphs. In the F-DELETION problem, we are given an n-vertex graph G and an integer k as input, and asked whether at most k vertices can be deleted from G such that the resulting graph does not contain a graph from F as a minor. F-DELETION is a generic problem and by selecting different sets of forbidden minors F, one can obtain various fundamental problems such as VERTEX COVER, FEEDBACK VERTEX SET or TREEWIDTH η-DELETION. In this paper we obtain a number of generic algorithmic results about F-DELETION, when F contains at least one planar graph. The highlights of our work are · A constant factor approximation algorithm for the optimization version of F-DELETION; · A linear time and single exponential parameterized algorithm, that is, an algorithm running in time O(2O(k)n), for the parameterized version of F-DELETION where all graphs in F are connected; · A polynomial kernel for parameterized F-DELETION. These algorithms unify, generalize, and improve a multitude of results in the literature. Our main results have several direct applications, but also the methods we develop on the way have applicability beyond the scope of this paper. Our results - constant factor approximation, polynomial kernelization and FPT algorithms - are stringed together by a common theme of polynomial time preprocessing.
Keywords
approximation theory; computational complexity; optimisation; polynomials; set theory; trees (mathematics); constant factor approximation algorithm; feedback vertex set; finite graph set; fixed-parameter tractable; generic algorithmic; linear time algorithm; n-vertex graph; optimal FPT algorithm; optimization version; planar F-deletion problem; planar graph; polynomial kernelization algorithm; polynomial time preprocessing; single exponential parameterized algorithm; treewidth η-deletion; vertex cover; Approximation algorithms; Approximation methods; Complexity theory; Indexes; Kernel; Optimization; Polynomials; algorithms; approximation; f-deletion; fpt; graphs; kernelization;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science (FOCS), 2012 IEEE 53rd Annual Symposium on
Conference_Location
New Brunswick, NJ
ISSN
0272-5428
Print_ISBN
978-1-4673-4383-1
Type
conf
DOI
10.1109/FOCS.2012.62
Filename
6375325
Link To Document