A generative graph template toolkit (GRA Te-TK) for C++
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University of Pretoria
Abstract
This study provides an investigation and discussion into the construction of a graph toolkit using generative programming techniques. It defines and analyses directed graphs, representations and identifies different techniques that may be used to discover new representations. Each representation is classified according to a unique classification system. Doing this enables us to uniquely identify a particular type of graph representation. A naming convention is used when identifying each graph representation which is a direct by product of the classification system. Details of how to implement the graph toolkit is presented and analysed. The toolkit is discussed and critically analysed with other major toolkits currently available today such as the Boost and Leda graph toolkits. Copyright
Description
Dissertation (MSc)--University of Pretoria, 2010.
Keywords
Graph template toolkit, UCTD
Sustainable Development Goals
Citation
Koopman, TS 2009, A generative graph template toolkit (GRA Te-TK) for C++, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27361 >