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Exact and Parameterized Algorithms for MAX INTERNAL SPANNING TREE

Identifieur interne : 000653 ( Main/Exploration ); précédent : 000652; suivant : 000654

Exact and Parameterized Algorithms for MAX INTERNAL SPANNING TREE

Auteurs : Daniel Binkele-Raible [Allemagne] ; Henning Fernau [Allemagne] ; Serge Gaspers [Autriche] ; Mathieu Liedloff [France]

Source :

RBID : Pascal:13-0121992

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English descriptors

Abstract

We consider the NP-hard problem of finding a spanning tree with a maximum number of internal vertices. This problem is a generalization of the famous HAMILTONIAN PATH problem. Our dynamic-programming algorithms for general and degree-bounded graphs have running times of the form O*(cn) with c ≤ 2. For graphs with bounded degree, c < 2. The main result, however, is a branching algorithm for graphs with maximum degree three. It only needs polynomial space and has a running time of O(1.8612n) when analyzed with respect to the number of vertices. We also show that its running time is 2.1364knO(1) when the goal is to find a spanning tree with at least k internal vertices. Both running time bounds are obtained via a Measure & Conquer analysis, the latter one being a novel use of this kind of analysis for parameterized algorithms.


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Le document en format XML

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<term>Exponential time</term>
<term>Graph degree</term>
<term>Hamiltonian path</term>
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<div type="abstract" xml:lang="en">We consider the NP-hard problem of finding a spanning tree with a maximum number of internal vertices. This problem is a generalization of the famous HAMILTONIAN PATH problem. Our dynamic-programming algorithms for general and degree-bounded graphs have running times of the form O
<sup>*</sup>
(c
<sup>n</sup>
) with c ≤ 2. For graphs with bounded degree, c < 2. The main result, however, is a branching algorithm for graphs with maximum degree three. It only needs polynomial space and has a running time of O(1.8612
<sup>n</sup>
) when analyzed with respect to the number of vertices. We also show that its running time is 2.1364
<sup>k</sup>
n
<sup>O(1)</sup>
when the goal is to find a spanning tree with at least k internal vertices. Both running time bounds are obtained via a Measure & Conquer analysis, the latter one being a novel use of this kind of analysis for parameterized algorithms.</div>
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