DocumentCode :
534655
Title :
Approximation to largest graceful subgraphs With constrained conditions
Author :
Yao, Bing ; Cheng, Hui ; Tao, Haixia ; Zhou, Xiangqian
Author_Institution :
Coll. of Math. & Inf. Sci., Northwest Normal Univ., Lanzhou, China
Volume :
6
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2547
Lastpage :
2551
Abstract :
Bang-Jensen and Gutin considered the Bennett´s model of chromosome arrangement in a cell of an eukaryotic organism. By means of the graph-theoretic model obtained by graph labellings, mathematicians found the solution of this biological system. By reducing an instance of a problem to a standard graph problem, we may be able to use well-known graph algorithms to provide an optimal solution, such as graphs in bioinformatics. The graph bandwidth being one of graph labellings provides a link between the syntactic structure of a constraint satisfaction problem and the complexity of the underlying search task. Graph labellings have inspired research in coding theory problems, in X-ray crystallographic analysis, to design communication network addressing systems, in determining optimal circuit layouts and radio astronomy. The graceful labelling, a typical one of graph labellings, is considered for some interesting problems.
Keywords :
X-ray crystallography; bioinformatics; cellular biophysics; graph theory; Bennett´s model; X-ray crystallographic analysis; bioinformatics; chromosome arrangement; constrained condition; constraint satisfaction problem; eukaryotic organism; graph labelling; graph theoretic model; largest graceful subgraph; syntactic structure; Artificial neural networks; Bandwidth; Biological system modeling; Educational institutions; Labeling; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639705
Filename :
5639705
Link To Document :
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