On Unknown Small Subsets and Implicit Measures: New Techniques for Parameterized Algorithms

Parameterized computation is a recently proposed alternative approach to dealing with NP-hard problems.Developing efficient parameterized algorithms has become a very active research area in the current research in theoretical computer science. In this paper, we investigate a number of new algorithm...

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Vydáno v:Journal of computer science and technology Ročník 29; číslo 5; s. 870 - 878
Hlavní autor: 陈建二 冯启龙
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.09.2014
Springer Nature B.V
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ISSN:1000-9000, 1860-4749
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Shrnutí:Parameterized computation is a recently proposed alternative approach to dealing with NP-hard problems.Developing efficient parameterized algorithms has become a very active research area in the current research in theoretical computer science. In this paper, we investigate a number of new algorithmic techniques that were proposed and initiated by ourselves in our research in parameterized computation. The techniques have proved to be very useful and promising,and have led to improved parameterized algorithms for many well-known NP-hard problems.
Bibliografie:11-2296/TP
Parameterized computation is a recently proposed alternative approach to dealing with NP-hard problems.Developing efficient parameterized algorithms has become a very active research area in the current research in theoretical computer science. In this paper, we investigate a number of new algorithmic techniques that were proposed and initiated by ourselves in our research in parameterized computation. The techniques have proved to be very useful and promising,and have led to improved parameterized algorithms for many well-known NP-hard problems.
Jianer Chen,Qi-Long Feng(1School of Information Science and Engineering, Central South University, Changsha 410083, China ;2Department of Computer Science, Texas A&M University, Texas 77843-3112, U.S.A.)
parameterized computation; randomized method; implicit branching
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ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-014-1474-1