Abstract
The problem searching for an optimal triangulation with required properties (in a plane) is solved in this paper. Existing approaches are shortly introduced here and, specially, this paper is dedicated to the brute force methods. Several new brute force methods that solve the problem from different points of view are described here. Although they have NP time complexity, we accelerate the time needed for computation maximally to get results of as large sets of points as possible. Note that our goal is to design the method that can be used for arbitrary criterion without another prerequisite. Therefore, it can serve as a generator of optimal triangulations. For example, those results can be used in verification of developed heuristic methods or in other problems where accurate results are needed and no methods for required criterion have been developed yet.
This work is supported by the Ministry of Education of the Czech Republic projects:
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References
Aurenhammer, F.: Voronoi Diagrams - A Survey of a Fundamental Geometric Data Structure. ACM Computing Surveys 23(3), 345–405 (1991)
Drysdale, R., L., S., McElfresh, S., Snoeyink, J., S.: An improved diamond property for minimum weight triangulation (1998)
Ehrlich, G.: Loopless algorithms for generating permutations, combinations, and other combinatorial configurations. Journal of the ACM 20(3), 500–513 (1973)
Garey, M., Johnson, R., Computers, D.S.: Intractability: A Guide to the theory of NPcompleteness. W. H. Freeman, San Francisco (1979)
Jansson, J.: Planar Minimum Weight Triangulations, Master’s Thesis, Department of Computer Science, Lund University, Sweden (1995)
Kucera, L.: Combinatorial Algorithms, SNTL, Publisher of Technical Literature (1989) ISBN 0-85274-298-3
Preparate, F.P., Shamos, M.I.: Computational Geometry - an Introduction. Springer, New York (1985)
Takaoka, T.: O(1) time algorithms for combinatorial generation by tree traversal. Computer Jurnal 42(5), 400–408 (1999)
Xiang, L., Ushijima, K.: On O(1) Time Algorithms for Combinatorial Generation. The Computer Journal 44(4), 292–302 (2001)
Yang, B., T., Xu, Y., F., You, Z., Y.: A chain decomposition algorithm for the proof of a property on minimum weight triangulations (1994)
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© 2004 Springer-Verlag Berlin Heidelberg
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Hlavaty, T., Skala, V. (2004). Combinatories and Triangulations. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_9
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DOI: https://doi.org/10.1007/978-3-540-24767-8_9
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