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Fixed parameter tractability of graph deletion problems over data streams. (English) Zbl 07336142

Kim, Donghyun (ed.) et al., Computing and combinatorics. 26th international conference, COCOON 2020, Atlanta, GA, USA, August 29–31, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12273, 652-663 (2020).
Summary: The study of parameterized streaming complexity on graph problems was initiated by Fafianie et al. (MFCS’14) and Chitnis et al. (SODA’15 and SODA’16). In this work, we initiate a systematic study of parameterized streaming complexity of graph deletion problems – \(\mathcal{F}\)-Subgraph deletion, \(\mathcal{F}\)-Minor deletion in the four most well-studied streaming models: the Ea (edge arrival), Dea (dynamic edge arrival), Va (vertex arrival) and Al (adjacency list) models. Our main conceptual contribution is to overcome the obstacles to efficient parameterized streaming algorithms by utilizing the power of parameterization. We focus on the vertex cover size \(K\) as the parameter for the parameterized graph deletion problems we consider. At the same time, most of the previous work in parameterized streaming complexity was restricted to the Ea (edge arrival) or Dea (dynamic edge arrival) models. In this work, we consider the four most well-studied streaming models: the Ea, Dea, Va (vertex arrival) and Al (adjacency list) models.
For the entire collection see [Zbl 1458.68009].

MSC:

68Rxx Discrete mathematics in relation to computer science
Full Text: DOI

References:

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