GANIAN, Robert, Petr HLINĚNÝ, Joachim KNEIS, Alexander LANGER, Jan OBDRŽÁLEK and Peter ROSSMANITH. Digraph width measures in parameterized algorithmics. Discrete Applied Mathematics. Elsevier B.V., 2014, vol. 168, No 1, p. 88-107. ISSN 0166-218X. Available from: https://dx.doi.org/10.1016/j.dam.2013.10.038.
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Basic information
Original name Digraph width measures in parameterized algorithmics
Authors GANIAN, Robert (840 United States of America, belonging to the institution), Petr HLINĚNÝ (203 Czech Republic, belonging to the institution), Joachim KNEIS (276 Germany), Alexander LANGER (276 Germany), Jan OBDRŽÁLEK (203 Czech Republic, guarantor, belonging to the institution) and Peter ROSSMANITH (276 Germany).
Edition Discrete Applied Mathematics, Elsevier B.V. 2014, 0166-218X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 0.802
RIV identification code RIV/00216224:14330/14:00073690
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1016/j.dam.2013.10.038
UT WoS 000334485900011
Keywords in English Digraph;Parameterized complexity;Tree-width;DAG-width;DAG-depth;Clique-width
Tags formela-journal
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Petr Hliněný, Ph.D., učo 168881. Changed: 1/4/2015 22:53.
Abstract
In contrast to undirected width measures such as tree-width, which have provided many important algorithmic applications, analogous measures for digraphs such as directed tree-width or DAG-width do not seem so successful. Several recent papers have given some evidence on the negative side. We confirm and consolidate this overall picture by thoroughly and exhaustively studying the complexity of a range of directed problems with respect to various parameters, and by showing that they often remain NP-hard even on graph classes that are restricted very beyond having small DAG-width. On the positive side, it turns out that clique-width (of digraphs) performs much better on virtually all considered problems, from the parameterized complexity point of view.
Links
GBP202/12/G061, research and development projectName: Centrum excelence - Institut teoretické informatiky (CE-ITI) (Acronym: CE-ITI)
Investor: Czech Science Foundation
GC201/09/J021, research and development projectName: Strukturální teorie grafů a parametrizovaná složitost
Investor: Czech Science Foundation, Structural graph theory and parameterized complexity
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