Parameterized complexity of the smallest degree-constrained subgraph problem

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Abstract

In this paper we study the problem of finding an induced subgraph of size at most k with minimum degree at least d for a given graph G, from the parameterized complexity perspective. We call this problem Minimum Subgraph of Minimum Degree >d (MSMDd ). For d = 2 it corresponds to finding a shortest cycle of the graph. Our main motivation to study this problem is its strong relation to Dense k -Subgraph and Traffic Grooming problems. First, we show that MSMS d is fixed-parameter intractable (provided FPT ≠ W[1]) for d ≥ 3 in general graphs, by showing it to be W[1]-hard using a reduction from Multi-Color Clique. In the second part of the paper we provide explicit fixed-parameter tractable (FPT) algorithms for the problem in graphs with bounded local tree-width and graphs with excluded minors, faster than those coming from the meta-theorem of Frick and Grohe [13] about problems definable in first order logic over "locally tree-decomposable structures". In particular, this implies faster fixed-parameter tractable algorithms in planar graphs, graphs of bounded genus, and graphs with bounded maximum degree. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Amini, O., Sau, I., & Saurabh, S. (2008). Parameterized complexity of the smallest degree-constrained subgraph problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5018 LNCS, pp. 13–29). https://doi.org/10.1007/978-3-540-79723-4_4

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