scispace - formally typeset
Open AccessJournal ArticleDOI

Interval Completion Is Fixed Parameter Tractable

Yngve Villanger, +3 more
- 01 Dec 2008 - 
- Vol. 38, Iss: 5, pp 2007-2020
Reads0
Chats0
TLDR
An algorithm with runtime O(k^{2k}n^3m) that performs bounded search among possible ways of adding edges to a graph to obtain an interval graph and combines this with a greedy algorithm when graphs of a certain structure are reached by the search.
Abstract
We present an algorithm with runtime $O(k^{2k}n^3m)$ for the following NP-complete problem [M. Garey and D. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman and Co., San Francisco, 1979, problem GT35]: Given an arbitrary graph $G$ on $n$ vertices and $m$ edges, can we obtain an interval graph by adding at most $k$ new edges to $G$? This resolves the long-standing open question [H. Kaplan, R. Shamir, and R. E. Tarjan, SIAM J. Comput., 28 (1999), pp. 1906-1922; R. G. Downey and M. R. Fellows, Parameterized Complexity, Springer-Verlag, New York, 1999; M. Serna and D. Thilikos, Bull. Eur. Assoc. Theory Comput. Sci. EATCS, 86 (2005), pp. 41-65; G. Gutin, S. Szeider, and A. Yeo, in Proceedings IWPEC 2006, Lecture Notes in Comput. Sci. 4169, Springer-Verlag, Berlin, 2006, pp. 60-71], first posed by Kaplan, Shamir, and Tarjan, of whether this problem was fixed parameter tractable. The problem has applications in profile minimization for sparse matrix computations [J. A. George and J. W. H. Liu, Computer Solution of Large Sparse Positive Definite Systems, Prentice-Hall, Englewood Cliffs, NJ, 1981; R. E. Tarjan, in Sparse Matrix Computations, J. R. Bunch and D. J. Rose, eds., Academic Press, 1976, pp. 3-22], and our results show tractability for the case of a small number $k$ of zero elements in the envelope. Our algorithm performs bounded search among possible ways of adding edges to a graph to obtain an interval graph and combines this with a greedy algorithm when graphs of a certain structure are reached by the search.

read more

Content maybe subject to copyright    Report

Citations
More filters
Posted Content

Solving MAX-r-SAT Above a Tight Lower Bound

TL;DR: In this paper, a polynomial-time data reduction procedure that reduces a problem instance to an equivalent algebraically represented problem with O(k^2)$ variables was proposed.
Proceedings ArticleDOI

Slightly superexponential parameterized problems

TL;DR: It is shown that the dependence on k in the running time of the best known algorithms cannot be improved to single exponential and three natural problems, arising from three different domains are proved to be solvable in time.
Journal ArticleDOI

Solving MAX- r -SAT Above a Tight Lower Bound

TL;DR: In this article, a polynomial-time data reduction procedure that reduces a problem instance to an equivalent algebraically represented problem with O(9r k 2) variables is presented.
Posted Content

Subexponential Parameterized Algorithm for Minimum Fill-in

TL;DR: This work gives the first subexponential parameterizedv algorithm solving Minimum Fill-in in time and substantially lowers the complexity of the problem.
Posted Content

Interval Deletion is Fixed-Parameter Tractable

TL;DR: In this article, a fixed-parameter tractable algorithm for the minimum interval deletion problem was presented, which requires the removal of a set of at most k vertices to make a graph of n vertices into an interval graph.
References
More filters
Book

Computers and Intractability: A Guide to the Theory of NP-Completeness

TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Book

Algorithmic graph theory and perfect graphs

TL;DR: This new Annals edition continues to convey the message that intersection graph models are a necessary and important tool for solving real-world problems and remains a stepping stone from which the reader may embark on one of many fascinating research trails.
Book

Parameterized Complexity

TL;DR: An approach to complexity theory which offers a means of analysing algorithms in terms of their tractability, and introduces readers to new classes of algorithms which may be analysed more precisely than was the case until now.