Subexponential-Time Algorithms for Finding Large Induced Sparse Subgraphs
Jana Novotná , Karolina Okrasa , Michał Pilipczuk , Paweł Rzążewski , Erik Jan van Leeuwen , Bartosz Walczak
AbstractLet 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:the graphs in C are sparse, i.e., they have linearly many edges in terms of the number of vertices;the graphs in D admit balanced separators of size governed by their density, e.g., O(Δ) or O(m), where Δ and m denote 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 C and D:a largest induced forest in a Pt-free graph can be found in 2O~(n2/3) time, for every fixed t; anda largest induced planar graph in a string graph can be found in 2O~(n2/3) time.
|Journal series||Algorithmica, ISSN 0178-4617, e-ISSN 1432-0541|
|Publication size in sheets||0.8|
|ASJC Classification||; ;|
|Score||= 70.0, 23-09-2020, ArticleFromJournal|
|Publication indicators||: 2018 = 1.354; : 2018 = 0.882 (2) - 2018=0.931 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.