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Subexponential-Time Algorithms for Finding Large Induced Sparse Subgraphs

Subexponential-time algorithms for finding large induced sparse subgraphs
Authors: Jana Novotná 0001; Karolina Okrasa; Michal Pilipczuk; Pawel Rzazewski; Erik Jan van Leeuwen; Bartosz Walczak;

Subexponential-Time Algorithms for Finding Large Induced Sparse Subgraphs

Abstract

AbstractLet$${\mathcal {C}}$$Cand$${\mathcal {D}}$$Dbe hereditary graph classes. Consider the following problem: given a graph$$G\in {\mathcal {D}}$$G∈D, find a largest, in terms of the number of vertices, induced subgraph ofGthat belongs to$${\mathcal {C}}$$C. We prove that it can be solved in$$2^{o(n)}$$2o(n)time, wherenis the number of vertices ofG, if the following conditions are satisfied:the graphs in$${\mathcal {C}}$$Care sparse, i.e., they have linearly many edges in terms of the number of vertices;the graphs in$${\mathcal {D}}$$Dadmit balanced separators of size governed by their density, e.g.,$${\mathcal {O}}(\varDelta )$$O(Δ)or$${\mathcal {O}}(\sqrt{m})$$O(m), where$$\varDelta$$Δandmdenote the maximum degree and the number of edges, respectively; andthe considered problem admits a single-exponential fixed-parameter algorithm when parameterized by the treewidth of the input graph.This leads, for example, to the following corollaries for specific classes$${\mathcal {C}}$$Cand$${\mathcal {D}}$$D:a largest induced forest in a$$P_t$$Pt-free graph can be found in$$2^{\tilde{{\mathcal {O}}}(n^{2/3})}$$2O~(n2/3)time, for every fixedt; anda largest induced planar graph in a string graph can be found in$$2^{\tilde{{\mathcal {O}}}(n^{2/3})}$$2O~(n2/3)time.

Countries
Poland, Netherlands, Germany
Keywords

FOS: Computer and information sciences, P -free graphs, General Computer Science, Analysis of algorithms and problem complexity, Computational Complexity (cs.CC), Article, subexponential algorithm, Graph algorithms (graph-theoretic aspects), Isomorphism problems in graph theory (reconstruction conjecture, etc.) and homomorphisms (subgraph embedding, etc.), Pt-free graphs, Feedback vertex set, 000 Computer science, knowledge, general works, String graphs, string graphs, Applied Mathematics, Subexponential algorithm, feedback vertex set, 004, Computer Science Applications, Computer Science - Computational Complexity, \(P_t\)-free graphs, Computer Science, P_t-free graphs, Density (toughness, etc.), ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
hybrid