Improved FPT Algorithms for Deletion to Forest-like Structures
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The Feedback Vertex Set problem is undoubtedly one of the most well-studied problems in Parameterized Complexity. In this problem, given an undirected graph G and a non-negative integer k, the objective is to test whether there exists a subset Sโ V(G) of size at most k such that G-S is a forest. After a long line of improvement, recently, Li and Nederlof [SODA, 2020] designed a randomized algorithm for the problem running in time ๐ช^โ(2.7^k). In the Parameterized Complexity literature, several problems around Feedback Vertex Set have been studied. Some of these include Independent Feedback Vertex Set (where the set S should be an independent set in G), Almost Forest Deletion and Pseudoforest Deletion. In Pseudoforest Deletion, each connected component in G-S has at most one cycle in it. However, in Almost Forest Deletion, the input is a graph G and non-negative integers k,โโโ, and the objective is to test whether there exists a vertex subset S of size at most k, such that G-S is โ edges away from a forest. In this paper, using the methodology of Li and Nederlof [SODA, 2020], we obtain the current fastest algorithms for all these problems. In particular we obtain following randomized algorithms. 1) Independent Feedback Vertex Set can be solved in time ๐ช^โ(2.7^k). 2) Pseudo Forest Deletion can be solved in time ๐ช^โ(2.85^k). 3) Almost Forest Deletion can be solved in ๐ช^โ(min{2.85^k ยท 8.54^โ,2.7^k ยท 36.61^โ,3^k ยท 1.78^โ}).
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