FPT Algorithms for Generalized Feedback Vertex Set Problems

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Abstract

An r-pseudoforest is a graph in which each component can be made into a forest by deleting at most r edges, and a d-quasi-forest is a graph in which each component can be made into a forest by deleting at most d vertices. In this paper, we study the parameterized tractability of deleting minimum number of vertices to obtain r-pseudoforest and d-quasi-forest, generalizing the well-studied feedback vertex set problem. We first provide improved FPT algorithm and kernelization results for the r-pseudoforest deletion problem, and then we show that the d-quasi-forest deletion problem is also FPT.

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APA

Sheng, B. (2020). FPT Algorithms for Generalized Feedback Vertex Set Problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12337 LNCS, pp. 402–413). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59267-7_34

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