2020
DOI: 10.1007/s00453-020-00745-z
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Subexponential-Time Algorithms for Finding Large Induced Sparse Subgraphs

Abstract: Let C and D be hereditary graph classes. Consider the following problem: given a graph G ∈ D , find a largest, in terms of the number of vertices, induced subgraph of G that belongs to C. We prove that it can be solved in 2 o(n) time, where n is the number of vertices of G, if the following conditions are satisfied:

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Cited by 7 publications
(7 citation statements)
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“…Every string graph that does not contain K , as a subgraph has degeneracy O( log ). This property of string graphs was also used algorithmically [34,35]. Our Theorem 4 is the analogue of Theorem 10 in C t -free graphs.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…Every string graph that does not contain K , as a subgraph has degeneracy O( log ). This property of string graphs was also used algorithmically [34,35]. Our Theorem 4 is the analogue of Theorem 10 in C t -free graphs.…”
Section: Introductionmentioning
confidence: 95%
“…This property turned to be very useful in the design of algorithms, as for many natural problems, including MAX INDEPENDENT SET, MAX INDUCED MATCHING, or 3-COLORING, each of the two possible outcomes allows us to compute the solution efficiently. Such a win-win approach leads to a subexponential running time for the considered problems [34,35].…”
Section: Introductionmentioning
confidence: 99%
“…In the first case, we identify two more positive cases: we show that if H ∈ {P 3 , C 4 }, then the problem admits a subexponential-time algorithm for every F ∈ S. The algorithm itself uses a win-win strategy: we combine branching on a high-degree vertex with a separator theorem that can be used if the maximum degree is bounded. A similar approach was used for various other problems [20,31], however, the specifics of our problem require a slightly more complicated approach.…”
Section: Our Contributionmentioning
confidence: 99%
“…The existence of such a subexponential-time algorithm for F -free graphs is excluded under the Exponential Time Hypothesis whenever F is not a subdivided claw forest (see e.g. the discussion in [27]), which shows a qualitative difference between the negative and the potentially positive cases. Also, Chudnovsky et al [10] recently gave a quasi-polynomial-time approximation scheme (QPTAS) for Maximum Independent Set in F -free graphs, for every fixed subdivided claw forest F .…”
Section: Introductionmentioning
confidence: 99%
“…For Maximum Independent Set this property is being edgeless, but for instance the property of being acyclic corresponds to the Maximum Induced Forest problem, which by complementation is equivalent to Feedback Vertex Set. Work in this direction so far focused on properties that imply bounded treewidth [1,17] or, more generally, that imply sparsity [27].…”
Section: Introductionmentioning
confidence: 99%