Standard

Towards optimal and expressive kernelization for d-hitting set. / Van Bevern, René.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7434 LNCS, 06.09.2012, p. 121-132.

Research output: Contribution to journalConference articlepeer-review

Harvard

Van Bevern, R 2012, 'Towards optimal and expressive kernelization for d-hitting set', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7434 LNCS, pp. 121-132. https://doi.org/10.1007/978-3-642-32241-9_11

APA

Van Bevern, R. (2012). Towards optimal and expressive kernelization for d-hitting set. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7434 LNCS, 121-132. https://doi.org/10.1007/978-3-642-32241-9_11

Vancouver

Van Bevern R. Towards optimal and expressive kernelization for d-hitting set. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012 Sept 6;7434 LNCS:121-132. doi: 10.1007/978-3-642-32241-9_11

Author

Van Bevern, René. / Towards optimal and expressive kernelization for d-hitting set. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012 ; Vol. 7434 LNCS. pp. 121-132.

BibTeX

@article{c2f9ddf4b1c145ed9bdf51fc7d160ed6,
title = "Towards optimal and expressive kernelization for d-hitting set",
abstract = "A sunflower in a hypergraph is a set of hyperedges pairwise intersecting in exactly the same vertex set. Sunflowers are a useful tool in polynomial-time data reduction for problems formalizable as d-Hitting Set, the problem of covering all hyperedges (of cardinality at most d) of a hypergraph by at most k vertices. Additionally, in fault diagnosis, sunflowers yield concise explanations for {"}highly defective structures{"}. We provide a linear-time algorithm that, by finding sunflowers, transforms an instance of d-Hitting Set into an equivalent instance comprising at most O(k d) hyperedges and vertices. In terms of parameterized complexity, we show a problem kernel with asymptotically optimal size (unless coNP ⊆ NP/poly). We show that the number of vertices can be reduced to O(k d-1) with additional processing in O(k 1.5d) time-nontrivially combining the sunflower technique with problem kernels due to Abu-Khzam and Moser.",
author = "{Van Bevern}, Ren{\'e}",
year = "2012",
month = sep,
day = "6",
doi = "10.1007/978-3-642-32241-9_11",
language = "English",
volume = "7434 LNCS",
pages = "121--132",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer-Verlag GmbH and Co. KG",
note = "18th Annual International Computing and Combinatorics Conference, COCOON 2012 ; Conference date: 20-08-2012 Through 22-08-2012",

}

RIS

TY - JOUR

T1 - Towards optimal and expressive kernelization for d-hitting set

AU - Van Bevern, René

PY - 2012/9/6

Y1 - 2012/9/6

N2 - A sunflower in a hypergraph is a set of hyperedges pairwise intersecting in exactly the same vertex set. Sunflowers are a useful tool in polynomial-time data reduction for problems formalizable as d-Hitting Set, the problem of covering all hyperedges (of cardinality at most d) of a hypergraph by at most k vertices. Additionally, in fault diagnosis, sunflowers yield concise explanations for "highly defective structures". We provide a linear-time algorithm that, by finding sunflowers, transforms an instance of d-Hitting Set into an equivalent instance comprising at most O(k d) hyperedges and vertices. In terms of parameterized complexity, we show a problem kernel with asymptotically optimal size (unless coNP ⊆ NP/poly). We show that the number of vertices can be reduced to O(k d-1) with additional processing in O(k 1.5d) time-nontrivially combining the sunflower technique with problem kernels due to Abu-Khzam and Moser.

AB - A sunflower in a hypergraph is a set of hyperedges pairwise intersecting in exactly the same vertex set. Sunflowers are a useful tool in polynomial-time data reduction for problems formalizable as d-Hitting Set, the problem of covering all hyperedges (of cardinality at most d) of a hypergraph by at most k vertices. Additionally, in fault diagnosis, sunflowers yield concise explanations for "highly defective structures". We provide a linear-time algorithm that, by finding sunflowers, transforms an instance of d-Hitting Set into an equivalent instance comprising at most O(k d) hyperedges and vertices. In terms of parameterized complexity, we show a problem kernel with asymptotically optimal size (unless coNP ⊆ NP/poly). We show that the number of vertices can be reduced to O(k d-1) with additional processing in O(k 1.5d) time-nontrivially combining the sunflower technique with problem kernels due to Abu-Khzam and Moser.

UR - http://www.scopus.com/inward/record.url?scp=84864966458&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-32241-9_11

DO - 10.1007/978-3-642-32241-9_11

M3 - Conference article

AN - SCOPUS:84864966458

VL - 7434 LNCS

SP - 121

EP - 132

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - 18th Annual International Computing and Combinatorics Conference, COCOON 2012

Y2 - 20 August 2012 through 22 August 2012

ER -

ID: 22341237