Exploring Subexponential Parameterized Complexity of Completion Problems
نویسندگان
چکیده
Let F be a family of graphs. In the F-Completion problem, we are given an n-vertex graph G and an integer k as input, and asked whether at most k edges can be added to G so that the resulting graph does not contain a graph from F as an induced subgraph. It appeared recently that special cases of F-Completion, the problem of completing into a chordal graph known as Minimum Fill-in, corresponding to the case of F = {C4, C5, C6, . . .}, and the problem of completing into a split graph, i.e., the case of F = {C4, 2K2, C5}, are solvable in parameterized subexponential time 2O( √ k log k)nO(1). The exploration of this phenomenon is the main motivation for our research on F-Completion. In this paper we prove that completions into several well studied classes of graphs without long induced cycles also admit parameterized subexponential time algorithms by showing that: The problem Trivially Perfect Completion is solvable in parameterized subexponential time 2O( √ k log k)nO(1), that is F-Completion for F = {C4, P4}, a cycle and a path on four vertices. The problems known in the literature as Pseudosplit Completion, the case where F = {2K2, C4}, and Threshold Completion, where F = {2K2, P4, C4}, are also solvable in time 2O( √ k log k)nO(1). We complement our algorithms for F-Completion with the following lower bounds: For F = {2K2}, F = {C4}, F = {P4}, and F = {2K2, P4}, F-Completion cannot be solved in time 2o(k)nO(1) unless the Exponential Time Hypothesis (ETH) fails. Our upper and lower bounds provide a complete picture of the subexponential parameterized complexity of F-Completion problems for F ⊆ {2K2, C4, P4}. 1998 ACM Subject Classification G.2.2 Graph algorithms
منابع مشابه
Subexponential parameterized algorithm for minimum fill-in
The Minimum Fill-in problem is to decide if a graph can be triangulated by adding at most k edges. Kaplan, Shamir, and Tarjan [FOCS 1994] have shown that the problem is solvable in time O(2O(k) + knm) on graphs with n vertices and m edges and thus is fixed parameter tractable. Here, we give the first subexponential parameterized algorithm solving Minimum Fillin in time O(2O( √ k log k) + knm). ...
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