TY - GEN
T1 - Optimal algorithms for hitting (Topological) minors on graphs of bounded treewidth
AU - Baste, Julien
AU - Sau, Ignasi
AU - Thilikos, Dimitrios M.
N1 - Publisher Copyright:
© 2018 Julien Baste, Ignasi Sau and Dimitrios M. Thilikos.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - For a fixed collection of graphs F, the F-M-Deletion problem consists in, given a graph G and an integer k, decide whether there exists S ⊆ V (G) with |S| ≤ k such that G \ S does not contain any of the graphs in F as a minor. We are interested in the parameterized complexity of F-M-Deletion when the parameter is the treewidth of G, denoted by tw. Our objective is to determine, for a fixed F, the smallest function fF such that F-M-Deletion can be solved in time fF(tw) · nO(1) on n-vertex graphs. Using and enhancing the machinery of boundaried graphs and small sets of representatives introduced by Bodlaender et al. [J ACM, 2016], we prove that when all the graphs in F are connected and at least one of them is planar, then fF(w) = 2O(w·logw). When F is a singleton containing a clique, a cycle, or a path on i vertices, we prove the following asymptotically tight bounds: •f{K4}(w) = 2Θ(w·log w).•f{Ci}(w) = 2Θ(w) for every i ≤ 4, and f{Ci}(w) = 2Θ(w·log w) for every i ≥ 5. • f{Pi}(w) = 2Θ(w) for every i ≤ 4, and f{Pi}(w) = 2Θ(w·log w) for every i ≥ 6. The lower bounds hold unless the Exponential Time Hypothesis fails, and the superexponential ones are inspired by a reduction of Marcin Pilipczuk [Discrete Appl Math, 2016]. The singleexponential algorithms use, in particular, the rank-based approach introduced by Bodlaender et al. [Inform Comput, 2015]. We also consider the version of the problem where the graphs in F are forbidden as topological minors, and prove essentially the same set of results holds.
AB - For a fixed collection of graphs F, the F-M-Deletion problem consists in, given a graph G and an integer k, decide whether there exists S ⊆ V (G) with |S| ≤ k such that G \ S does not contain any of the graphs in F as a minor. We are interested in the parameterized complexity of F-M-Deletion when the parameter is the treewidth of G, denoted by tw. Our objective is to determine, for a fixed F, the smallest function fF such that F-M-Deletion can be solved in time fF(tw) · nO(1) on n-vertex graphs. Using and enhancing the machinery of boundaried graphs and small sets of representatives introduced by Bodlaender et al. [J ACM, 2016], we prove that when all the graphs in F are connected and at least one of them is planar, then fF(w) = 2O(w·logw). When F is a singleton containing a clique, a cycle, or a path on i vertices, we prove the following asymptotically tight bounds: •f{K4}(w) = 2Θ(w·log w).•f{Ci}(w) = 2Θ(w) for every i ≤ 4, and f{Ci}(w) = 2Θ(w·log w) for every i ≥ 5. • f{Pi}(w) = 2Θ(w) for every i ≤ 4, and f{Pi}(w) = 2Θ(w·log w) for every i ≥ 6. The lower bounds hold unless the Exponential Time Hypothesis fails, and the superexponential ones are inspired by a reduction of Marcin Pilipczuk [Discrete Appl Math, 2016]. The singleexponential algorithms use, in particular, the rank-based approach introduced by Bodlaender et al. [Inform Comput, 2015]. We also consider the version of the problem where the graphs in F are forbidden as topological minors, and prove essentially the same set of results holds.
KW - Dynamic programming
KW - Exponential Time Hypothesis
KW - Graph minors
KW - Hitting minors
KW - Parameterized complexity
KW - Topological minors
KW - Treewidth
UR - http://www.scopus.com/inward/record.url?scp=85044749278&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044749278&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.IPEC.2017.4
DO - 10.4230/LIPIcs.IPEC.2017.4
M3 - Conference contribution
AN - SCOPUS:85044749278
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 12th International Symposium on Parameterized and Exact Computation, IPEC 2017
A2 - Lokshtanov, Daniel
A2 - Nishimura, Naomi
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 12th International Symposium on Parameterized and Exact Computation, IPEC 2017
Y2 - 6 September 2017 through 8 September 2017
ER -