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Avtomatika i Telemekhanika, 2015, Issue 10, Pages 106–112 (Mi at14294)  
This article is cited in 7 scientific papers (total in 7 papers)

System Analysis and Operations Research

A DNA algorithm for the maximal matching problem

Li Wenxiaa, E. M. Patrikeeva, Xiao Dongmeib

a East China Normal University, Shanghai, China
b Jiao Tong University, Shanghai, China
Full-text PDF (201 kB) Citations (7)
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Abstract: We propose a procedure for solving the classical discrete extremal maximal matching problem with the Adleman-Lipton model as the computational architecture. We show that for an undirected graph with $n$ edges the solution can be obtained in $O(n^2)$ steps.
Presented by the member of Editorial Board: V. I. Gurman

Received: 20.01.2015
English version:
Automation and Remote Control, 2015, Volume 76, Issue 10, Pages 1797–1802
DOI: https://doi.org/10.1134/S0005117915100070
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Li Wenxia, E. M. Patrikeev, Xiao Dongmei, “A DNA algorithm for the maximal matching problem”, Avtomat. i Telemekh., 2015, no. 10, 106–112; Autom. Remote Control, 76:10 (2015), 1797–1802
Citation in format AMSBIB
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    • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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