scholarly journals Manipulation Strategies for the Rank-Maximal Matching Problem

Author(s):  
Pratik Ghosal ◽  
Katarzyna Paluch
2015 ◽  
Vol 12 (9) ◽  
pp. 2348-2351
Author(s):  
Lingmin Zhang ◽  
Dongmei Huang ◽  
Wang Wang ◽  
Ji Zuwen

2015 ◽  
Vol 76 (10) ◽  
pp. 1797-1802 ◽  
Author(s):  
Wenxia Li ◽  
E. M. Patrikeev ◽  
Dongmei Xiao

Networks ◽  
2013 ◽  
Vol 62 (4) ◽  
pp. 273-287 ◽  
Author(s):  
Merve Bodur ◽  
Tinaz Ekim ◽  
Z. Caner Taşkin

2011 ◽  
Vol 6 (6) ◽  
pp. 1161-1171 ◽  
Author(s):  
Z. Caner Taşkın ◽  
Tınaz Ekim

2016 ◽  
Vol 09 (02) ◽  
pp. 1650019 ◽  
Author(s):  
Zhaocai Wang ◽  
Zuwen Ji ◽  
Ziyi Su ◽  
Xiaoming Wang ◽  
Kai Zhao

The maximal matching problem (MMP) is to find maximal edge subsets in a given undirected graph, that no pair of edges are adjacent in the subsets. It is a vitally important NP-complete problem in graph theory and applied mathematics, having numerous real life applications in optimal combination and linear programming fields. It can be difficultly solved by the electronic computer in exponential level time. Meanwhile in previous studies deoxyribonucleic acid (DNA) molecular operations usually were used to solve NP-complete continuous path search problems, e.g. HPP, traveling salesman problem, rarely for NP-hard problems with discrete vertices or edges solutions, such as the minimum vertex cover problem, graph coloring problem and so on. In this paper, we present a DNA algorithm for solving the MMP with DNA molecular operations. For an undirected graph with [Formula: see text] vertices and [Formula: see text] edges, we reasonably design fixed length DNA strands representing vertices and edges of the graph, take appropriate steps and get the solutions of the MMP in proper length range using [Formula: see text] time. We extend the application of DNA molecular operations and simultaneously simplify the complexity of the computation.


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