Streaming Deletion Problems Parameterized by Vertex Cover

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Abstract

Streaming is a model where an input graph is provided one edge at a time, instead of being able to inspect it at will. In this work, we take a parameterized approach by assuming a vertex cover of the graph is given, building on work of Bishnu et al. [COCOON 2020]. We show the further potency of combining this parameter with the Adjacency List streaming model to obtain results for vertex deletion problems. This includes kernels, parameterized algorithms, and lower bounds for the problems of Π -free Deletion, H-free Deletion, and the more specific forms of Cluster Vertex Deletion and Odd Cycle Transversal. We focus on the complexity in terms of the number of passes over the input stream, and the memory used. This leads to a pass/memory trade-off, where a different algorithm might be favourable depending on the context and instance. We also discuss implications for parameterized complexity in the non-streaming setting.
Original languageEnglish
Title of host publicationFundamentals of Computation Theory - 23rd International Symposium, FCT 2021, Athens, Greece, September 12-15, 2021, Proceedings
EditorsEvripidis Bampis, Aris Pagourtzis
PublisherSpringer
Pages413-426
ISBN (Electronic)978-3-030-86593-1
ISBN (Print)978-3-030-86592-4
DOIs
Publication statusPublished - 9 Sept 2021

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12867
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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