We study the parameterized complexity of two families of problems: the bounded length disjoint paths problem anti the bounded length cut problem. From Menger's theorem both problems are equivalent (and computation...
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ISBN:
(纸本)9783642112683
We study the parameterized complexity of two families of problems: the bounded length disjoint paths problem anti the bounded length cut problem. From Menger's theorem both problems are equivalent (and computationally easy) in the unbounded case for single source, single target;paths. However, in the bounded case, they are combinatorially distinct and are both NP-hard, even to approximate. Our results indicate that a more refined landscape appears when we study these problems with respect to their parameterized complexity. For this, we consider several parameterizations (with respect to the maximum length of paths, the number k of paths or the size of a cut, and the treewidth of the input graph) of all variants of both problems (edge/vertex-disjoint paths or cuts, directed/undirected). We provide FPT-algorithms (for all variants) when parameterized by both A: and I and hardness results when the parameter is only one of A: and I. Our results indicate that the bounded length disjoint-path variants are structurally harder than their bounded length cut counterparts. Also, it appears that the edge variants are harder than their vertex-disjoint counterparts when parameterized by the treewidth of the input graph.
We consider extension variants of some edge optimization problems in graphs containing the classical EDGE COVER, MATCHING, and EDGE DOMINATING SET problems. Given a graph G = (V, E) and an edge set U subset of E, it i...
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ISBN:
(纸本)9783030250270;9783030250263
We consider extension variants of some edge optimization problems in graphs containing the classical EDGE COVER, MATCHING, and EDGE DOMINATING SET problems. Given a graph G = (V, E) and an edge set U subset of E, it is asked whether there exists an inclusion-wise minimal (resp., maximal) feasible solution E' which satisfies a given property, for instance, being an edge dominating set (resp., a matching) and containing the forced edge set U (resp., avoiding any edges from the forbidden edge set E\U). We present hardness results for these problems, for restricted instances such as bipartite or planar graphs. We counterbalance these negative results with parameterized complexity results. We also consider the price of extension, a natural optimization problem variant of extension problems, leading to some approximation results.
We consider the Group Activity Selection Problem (GASP) in which a group of agents need to be assigned to activities, subject to agent preferences and stability conditions. In GASP, the agents announce dichotomic pref...
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ISBN:
(纸本)9781510855076
We consider the Group Activity Selection Problem (GASP) in which a group of agents need to be assigned to activities, subject to agent preferences and stability conditions. In GASP, the agents announce dichotomic preferences on which (activity, number-of-participant) pairs are acceptable to them. We consider five solution concepts of assignments: (1) individual rationality (everyone who is assigned to an activity is willing to participate), (2) (Nash) stability (no agent wants to deviate from the assignment), (3) envy-freeness (no agent is envious of someone else's assignment), (4) stability and envy-freeness, and (5) perfection (everyone is assigned and willing to participate). It is known that finding an assignment of a given size with any of these properties is NP-complete. We study the complexity of GASPon a finer scale, through the lens of parameterized complexity. We show that the solution concepts above differ substantially, when parameterized by the size of the solution (the number of assigned agents or the number of used activities). In particular, finding an individually rational assignment is fixed parameter tractable, yet other solutions concepts are less tractable (W[1]- and W[2]-hard) even under very natural restrictions on inputs.
We consider the directed Steiner network problem, where given a weighted directed graph G and p pairs of vertices P = {(s(1), t(1)), . . . ,(s(p), t(p))}, one has to find the minimum weight subgraph H of G that contai...
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We consider the directed Steiner network problem, where given a weighted directed graph G and p pairs of vertices P = {(s(1), t(1)), . . . ,(s(p), t(p))}, one has to find the minimum weight subgraph H of G that contains path from s(i) to t(i) for all i. We search for the main cause of the complexity of the problem and introduce the notions of junction vertex and shared segment in an optimal solution. We study the parameterized complexity of the problem with respect to these parameters and achieve several parameterized hardness results. Also, we present two output-sensitive algorithms for the problem, which are much simpler and easier to implement than the previously best known one;and in addition, when the paths corresponding to the input pairs have few shared vertices or arcs in the optimal solution, these algorithms outperform the previous one.
We study the winner determination problem for three prevalent committee election rules: Chamberlin-Courant Approval Voting(CCA), Proportional Approval Voting (PAV), and Satisfaction Approval Voting (SAV). Axiomatic an...
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ISBN:
(纸本)9781450363099
We study the winner determination problem for three prevalent committee election rules: Chamberlin-Courant Approval Voting(CCA), Proportional Approval Voting (PAV), and Satisfaction Approval Voting (SAV). Axiomatic and algorithmic studies of elections under these rules have been conducted recently. It is known that the winner determination problem is NP-hard for CCA and PAV and polynomial-time solvable for SAV, if the input votes are dichotomous. Moreover, parameterized complexity of the two NP-hard cases has been examined with respect to some natural parameters such as the number of candidates or the number of votes. In this paper, we extend the above studies to committee elections with trichotomous votes and identify cases, where trichotomous votes lead to an increase of parameterized complexity. We also consider the maximin (or egalitarian) variations of the rules, where the minimum satisfaction of the voters is maximized.
We consider the word search problem in the BaumslagsGersten group GB. We show that the parameterized complexity of this problem, where the area of van Kampen diagram serves as a parameter, is polynomial in the length ...
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ISBN:
(纸本)9781450371001
We consider the word search problem in the BaumslagsGersten group GB. We show that the parameterized complexity of this problem, where the area of van Kampen diagram serves as a parameter, is polynomial in the length of the input and the parameter. This contrasts the well-known result that the Dehn function and the time complexity of the word search problem in GB are non-elementary.
In an iterative voting system, candidates are eliminated in consecutive rounds until either the set of remaining candidates does not change or a fixed number of rounds is reached. In this paper, we consider four promi...
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ISBN:
(纸本)9781450375184
In an iterative voting system, candidates are eliminated in consecutive rounds until either the set of remaining candidates does not change or a fixed number of rounds is reached. In this paper, we consider four prominent iterative voting systems, which are all based on positional scoring rules. The Hare and Coombs systems are based on the plurality and veto rules, respectively, while the Baldwin and Nanson systems are based on the Borda rule. We study the resistance of these four systems against shift bribery. Hereby, we consider both constructive and destructive settings. It is known that all four iterative voting systems are resistant to shift bribery, that is, both constructive and destructive shift bribery problems are NP-hard for these voting systems. We complement these NP-hardness results by examining parameterized complexity of the shift bribery problems with respect to some natural parameters. Our results provide further evidence for the observation that shift bribery problems for iterative voting systems are computationally harder than for the corresponding non-iterative cases. In addition, our reductions apply several techniques which might be useful for proving hardness results for other iterative voting systems.
In this paper, we study the relationship between the approximability and the parameterized complexity of NP optimization problems. We introduce a notion of polynomial fixed-parameter tractability and prove that, under...
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ISBN:
(纸本)3540228233
In this paper, we study the relationship between the approximability and the parameterized complexity of NP optimization problems. We introduce a notion of polynomial fixed-parameter tractability and prove that, under a very general constraint, an NP optimization problem has a fully polynomial time approximation scheme if and only if the problem is polynomial fixed-parameter tractable. By enforcing a constraint of planarity on the W-hierarchy studied in parameterized complexity theory, we obtain a class of NP optimization problems, the planar W-hierarchy, and prove that all problems in this class have efficient polynomial time approximation schemes (EPTAS). The planar W-hierarchy seems to contain most of the known EPTAS problems, and is significantly different from the class introduced by Khanna and Motwani in their efforts in characterizing optimization problems with polynomial time approximation schemes. (c) 2006 Elsevier B.V. All rights reserved.
We study the k -committee selection rules minimax approval, proportional approval, and Chamberlin-Courant's approval. It is known that WINNER DETERMINATION for these rules is NP-hard. Moreover, the parameterized c...
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We study the k -committee selection rules minimax approval, proportional approval, and Chamberlin-Courant's approval. It is known that WINNER DETERMINATION for these rules is NP-hard. Moreover, the parameterized complexity of the problem has also been studied with respect to some natural parameters. However, there are still numerous parameterizations that have not been considered. We revisit the parameterized complexity of WINNER DETERMINATION for these rules by considering several important single parameters, combined parameters, and structural parameters, aiming at detecting as many fixed-parameter tractability results as possible.
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