Exact and Parameterized Algorithms for Max Internal Spanning Tree
Identifieur interne : 001A70 ( Istex/Corpus ); précédent : 001A69; suivant : 001A71Exact and Parameterized Algorithms for Max Internal Spanning Tree
Auteurs : Henning Fernau ; Serge Gaspers ; Daniel RaibleSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: We consider the $\mathcal{NP}$ -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 *(c n ) (c ≤ 3). 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(1.8669 n ) when analyzed with respect to the number of vertices. We also show that its running time is 2.1364 k n O(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.
Url:
DOI: 10.1007/978-3-642-11409-0_9
Links to Exploration step
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<front><div type="abstract" xml:lang="en">Abstract: We consider the $\mathcal{NP}$ -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 *(c n ) (c ≤ 3). 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(1.8669 n ) when analyzed with respect to the number of vertices. We also show that its running time is 2.1364 k n O(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.</div>
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<affiliation>Lancaster University, Lancaster, UK</affiliation>
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<editor><persName><forename type="first">Takeo</forename>
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<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
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<editor><persName><forename type="first">Jon</forename>
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<surname>Kleinberg</surname>
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<abstract xml:lang="en"><p>Abstract: We consider the $\mathcal{NP}$ -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 *(c n ) (c ≤ 3). 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(1.8669 n ) when analyzed with respect to the number of vertices. We also show that its running time is 2.1364 k n O(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.</p>
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<Para>We consider the <InlineEquation ID="IEq1"><InlineMediaObject><ImageObject FileRef="978-3-642-11409-0_9_Chapter_TeX2GIFIEq1.gif" Format="GIF" Color="BlackWhite" Type="Linedraw" Rendition="HTML"></ImageObject>
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-hard problem of finding a spanning tree with a maximum number of internal vertices. This problem is a generalization of the famous <Emphasis Type="SmallCaps">Hamiltonian Path</Emphasis>
problem. Our dynamic-programming algorithms for general and degree-bounded graphs have running times of the form <Emphasis Type="Italic">O</Emphasis>
<Superscript>*</Superscript>
(<Emphasis Type="Italic">c</Emphasis>
<Superscript><Emphasis Type="Italic">n</Emphasis>
</Superscript>
) (<Emphasis Type="Italic">c</Emphasis>
≤ 3). 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 <Emphasis Type="Italic">O</Emphasis>
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<Superscript><Emphasis Type="Italic">O</Emphasis>
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when the goal is to find a spanning tree with at least <Emphasis Type="Italic">k</Emphasis>
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.</Para>
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<ArticleNote Type="Misc"><SimplePara>This work was partially Supported by a PPP grant between DAAD (Germany) and NFR (Norway).</SimplePara>
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<abstract lang="en">Abstract: We consider the $\mathcal{NP}$ -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 *(c n ) (c ≤ 3). 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(1.8669 n ) when analyzed with respect to the number of vertices. We also show that its running time is 2.1364 k n O(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.</abstract>
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<name type="personal"><namePart type="given">David</namePart>
<namePart type="family">Hutchison</namePart>
<affiliation>Lancaster University, Lancaster, UK</affiliation>
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<name type="personal"><namePart type="given">Takeo</namePart>
<namePart type="family">Kanade</namePart>
<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
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<name type="personal"><namePart type="given">Josef</namePart>
<namePart type="family">Kittler</namePart>
<affiliation>University of Surrey, Guildford, UK</affiliation>
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<name type="personal"><namePart type="given">Jon</namePart>
<namePart type="given">M.</namePart>
<namePart type="family">Kleinberg</namePart>
<affiliation>Cornell University, Ithaca, NY, USA</affiliation>
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<name type="personal"><namePart type="given">Friedemann</namePart>
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<affiliation>ETH Zurich, Zurich, Switzerland</affiliation>
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<name type="personal"><namePart type="given">John</namePart>
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<affiliation>Stanford University, Stanford, CA, USA</affiliation>
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<name type="personal"><namePart type="given">Moni</namePart>
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<name type="personal"><namePart type="given">Oscar</namePart>
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<name type="personal"><namePart type="given">C.</namePart>
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<name type="personal"><namePart type="given">Bernhard</namePart>
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<name type="personal"><namePart type="given">Madhu</namePart>
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<name type="personal"><namePart type="given">Demetri</namePart>
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<name type="personal"><namePart type="given">Doug</namePart>
<namePart type="family">Tygar</namePart>
<affiliation>University of California, Berkeley, CA, USA</affiliation>
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<name type="personal"><namePart type="given">Moshe</namePart>
<namePart type="given">Y.</namePart>
<namePart type="family">Vardi</namePart>
<affiliation>Rice University, Houston, TX, USA</affiliation>
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<name type="personal"><namePart type="given">Gerhard</namePart>
<namePart type="family">Weikum</namePart>
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