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Software Implementation of A Condition-Based Graph Structure Recognition method

In state-of-the-art software library, such as Standard Template Library (STL) , they support a number of data models, for example, set, map, sequence, etc. Since graph data processing is widely used in combinatorial processing and optimization programs, in this research, we designed software implementation of a condition-based graph structure recognition method. This design consists of four kinds of condition functions specific to graph structures, control functions of structure recognition operation flow, and programming interface to facilitate programs writing various efficient graph structure recognition programs. We implemented a software library of this graph structure recognition method to support program design containing graph data and processing.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0508108-160508
Date08 May 2008
CreatorsXu, Chuan-Xin
ContributorsChia-Hsiung Kao, Chih-Chien Chen, Tsung Lee
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0508108-160508
Rightsnot_available, Copyright information available at source archive

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