Parameterized approximation of dominating set problems

A problem open for many years is whether there is an FPT algorithm that given a graph G and parameter k, either: (1) determines that G has no k- Dominating Set, or (2) produces a dominating set of size at most g ( k ) , where g ( k ) is some fixed function of k. Such an outcome is termed an FPT appr...

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Published in:Information processing letters Vol. 109; no. 1; pp. 68 - 70
Main Authors: Downey, Rodney G., Fellows, Michael R., McCartin, Catherine, Rosamond, Frances
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 16.12.2008
Elsevier
Elsevier Sequoia S.A
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ISSN:0020-0190, 1872-6119
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Abstract A problem open for many years is whether there is an FPT algorithm that given a graph G and parameter k, either: (1) determines that G has no k- Dominating Set, or (2) produces a dominating set of size at most g ( k ) , where g ( k ) is some fixed function of k. Such an outcome is termed an FPT approximation algorithm. We describe some results that begin to provide some answers. We show that there is no such FPT algorithm for g ( k ) of the form k + c (where c is a fixed constant, termed an additive FPT approximation), unless FPT = W [ 2 ] . We answer the analogous problem completely for the related Independent Dominating Set (IDS) problem, showing that IDS does not admit an FPT approximation algorithm, for any g ( k ) , unless FPT = W [ 2 ] .
AbstractList A problem open for many years is whether there is an FPT algorithm that given a graph G and parameter k, either: (1) determines that G has no k-Dominating Set, or (2) produces a dominating set of size at most g(k), where g(k) is some fixed function of k. Such an outcome is termed an FPT approximation algorithm. We describe some results that begin to provide some answers. We show that there is no such FPT algorithm for g(k) of the form k+c (where c is a fixed constant, termed an additive FPT approximation), unless FPT = W[2]. We answer the analogous problem completely for the related Independent Dominating Set (IDS) problem, showing that IDS does not admit an FPT approximation algorithm, for any g(k), unless FPT = W[2]. [PUBLICATION ABSTRACT]
A problem open for many years is whether there is an FPT algorithm that given a graph G and parameter k, either: (1) determines that G has no k- Dominating Set, or (2) produces a dominating set of size at most g ( k ) , where g ( k ) is some fixed function of k. Such an outcome is termed an FPT approximation algorithm. We describe some results that begin to provide some answers. We show that there is no such FPT algorithm for g ( k ) of the form k + c (where c is a fixed constant, termed an additive FPT approximation), unless FPT = W [ 2 ] . We answer the analogous problem completely for the related Independent Dominating Set (IDS) problem, showing that IDS does not admit an FPT approximation algorithm, for any g ( k ) , unless FPT = W [ 2 ] .
Author McCartin, Catherine
Downey, Rodney G.
Rosamond, Frances
Fellows, Michael R.
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Cites_doi 10.1093/comjnl/bxm048
10.1137/S0097539703427203
10.1016/j.orl.2007.02.008
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Issue 1
Keywords FPT approximation
Approximation algorithms
Parameterized complexity
Approximation
Dominating set
Computer theory
Information processing
Independent set
Approximation algorithm
Algorithm analysis
Graph algorithm
Complexity
Language English
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Snippet A problem open for many years is whether there is an FPT algorithm that given a graph G and parameter k, either: (1) determines that G has no k- Dominating...
A problem open for many years is whether there is an FPT algorithm that given a graph G and parameter k, either: (1) determines that G has no k-Dominating Set,...
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SubjectTerms Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Approximation
Approximation algorithms
Computer science; control theory; systems
Exact sciences and technology
FPT approximation
Information retrieval. Graph
Mathematical problems
Miscellaneous
Parameterized complexity
Studies
Theoretical computing
Title Parameterized approximation of dominating set problems
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