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An Adaptable and Extensible Geometry Kernel

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44616

Hert,  Susan
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44766

Kettner,  Lutz
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45191

Pion,  Sylvain
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45446

Seel,  Michael
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Zitation

Hert, S., Hoffmann, M., Kettner, L., Pion, S., & Seel, M. (2001). An Adaptable and Extensible Geometry Kernel. In G. S. Brodal, D. Frigioni, & A. Marchetti-Spaccamela (Eds.), Proceedings of the 5th International Workshop on Algorithm Engineering (WAE-01) (pp. 79-90). Berlin, Germany: Springer.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-3160-3
Zusammenfassung
Geometric algorithms are based on geometric objects such as points, lines and circles. The term \textit{Kernel\/} refers to a collection of representations for constant-size geometric objects and operations on these representations. This paper describes how such a geometry kernel can be designed and implemented in C++, having special emphasis on adaptability, extensibility and efficiency. We achieve these goals following the generic programming paradigm and using templates as our tools. These ideas are realized and tested in \cgal~\cite{svy-cgal}, the Computational Geometry Algorithms Library.