Ranking and Drawing in Subexponential Time
Identifieur interne : 000949 ( Main/Exploration ); précédent : 000948; suivant : 000950Ranking and Drawing in Subexponential Time
Auteurs : Henning Fernau [Allemagne] ; Fedor V. Fomin [Norvège] ; Daniel Lokshtanov [Norvège] ; Matthias Mnich [Pays-Bas] ; Geevarghese Philip [Inde] ; Saket Saurabh [Inde]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: In this paper we obtain parameterized subexponential-time algorithms for p -Kemeny Aggregation (p-KAGG) — a problem in social choice theory — and for p -One-Sided Crossing Minimization (p-OSCM) – a problem in graph drawing (see the introduction for definitions). These algorithms run in time $\mathcal{O}^{*}(2^{\mathcal{O}(\sqrt{k}{\rm log} k)})$ , where k is the parameter, and significantly improve the previous best algorithms with running times $\cal{O}^{*}$ (1.403 k ) and $\cal{O}^{*}$ (1.4656 k ), respectively. We also study natural “above-guarantee” versions of these problems and show them to be fixed parameter tractable. In fact, we show that the above-guarantee versions of these problems are equivalent to a weighted variant of p -Directed Feedback Arc Set. Our results for the above-guarantee version of p-KAGG reveal an interesting contrast. We show that when the number of “votes” in the input to p-KAGG is odd the above guarantee version can still be solved in time $\mathcal{O}^{*}(2^{\mathcal{O}(\sqrt{k}{\rm log} k)})$ , while if it is even then the problem cannot have a subexponential time algorithm unless the exponential time hypothesis fails (equivalently, unless FPT=M[1]).
Url:
DOI: 10.1007/978-3-642-19222-7_34
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: In this paper we obtain parameterized subexponential-time algorithms for p -Kemeny Aggregation (p-KAGG) — a problem in social choice theory — and for p -One-Sided Crossing Minimization (p-OSCM) – a problem in graph drawing (see the introduction for definitions). These algorithms run in time $\mathcal{O}^{*}(2^{\mathcal{O}(\sqrt{k}{\rm log} k)})$ , where k is the parameter, and significantly improve the previous best algorithms with running times $\cal{O}^{*}$ (1.403 k ) and $\cal{O}^{*}$ (1.4656 k ), respectively. We also study natural “above-guarantee” versions of these problems and show them to be fixed parameter tractable. In fact, we show that the above-guarantee versions of these problems are equivalent to a weighted variant of p -Directed Feedback Arc Set. Our results for the above-guarantee version of p-KAGG reveal an interesting contrast. We show that when the number of “votes” in the input to p-KAGG is odd the above guarantee version can still be solved in time $\mathcal{O}^{*}(2^{\mathcal{O}(\sqrt{k}{\rm log} k)})$ , while if it is even then the problem cannot have a subexponential time algorithm unless the exponential time hypothesis fails (equivalently, unless FPT=M[1]).</div>
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