ADAMASZEK, Anna and Alexandru POPA. Algorithmic and Hardness Results for the Colorful Components Problems. In 11th Latin American Theoretical Informatics Symposium, LATIN 2014. Berlin: Springer, 2014, p. 683-694. ISBN 978-3-642-54422-4. Available from: https://dx.doi.org/10.1007/978-3-642-54423-1_59.
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Basic information
Original name Algorithmic and Hardness Results for the Colorful Components Problems
Authors ADAMASZEK, Anna (620 Portugal) and Alexandru POPA (642 Romania, guarantor, belonging to the institution).
Edition Berlin, 11th Latin American Theoretical Informatics Symposium, LATIN 2014, p. 683-694, 12 pp. 2014.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/14:00080117
Organization unit Faculty of Informatics
ISBN 978-3-642-54422-4
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-54423-1_59
UT WoS 000342804300059
Keywords in English Algorithms; Information science; Polynomial approximation
Tags firank_B
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2015 13:06.
Abstract
In this paper we investigate the colorful components framework, motivated by applications emerging from comparative genomics. The general goal is to remove a collection of edges from an undirected vertex-colored graph G such that in the resulting graph C' all the connected components are colorful (i.e., any two vertices of the same color belong to different connected components). We want G' to optimize an objective function, the selection of this function being specific to each problem in the framework. We analyze three objective functions, and thus, three different problems, which are believed to be relevant for the biological applications: minimizing the number of singleton vertices, maximizing the number of edges in the transitive closure, and minimizing the number of connected components. Our main result is a polynomial-time algorithm for the first problem. This result disproves the conjecture of Zheng et al. that the problem is NP-hard (assuming P not equal NP). Then, we show that the second problem is APX-hard, thus proving and strengthening the conjecture of Zheng et al. that the problem is NP-hard. Finally, we show that the third problem does not admit polynomial-time approximation within a factor of vertical bar V vertical bar(1/14-epsilon) for any epsilon > 0, assuming P not equal NP (or within a factor of vertical bar V vertical bar(1/2-epsilon), assuming ZPP not equal NP).
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EE2.3.30.0009, research and development projectName: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci
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