FIXED PARAMETER ALGORITHMS FOR THE MINIMUM WEIGHT TRIANGULATION PROBLEM

Author:

BORGELT MAGDALENE GRANTSON1,BORGELT CHRISTIAN2,LEVCOPOULOS CHRISTOS3

Affiliation:

1. Department of Information and Computing Sciences, PO Box 80.007, 3508 TA Utrecht, The Netherlands

2. European Center for Soft Computing, c/ Gonzalo Gutiérrez Quirós s/n, 33600 Mieres, Spain

3. Department of Computer Science, Lund University, Box 118, 221 Lund, Sweden

Abstract

We discuss and compare four fixed parameter algorithms for finding the minimum weight triangulation of a simple polygon with (n – k) vertices on the perimeter and k vertices in the interior (hole vertices), that is, for a total of n vertices. All four algorithms rely on the same abstract divide-and-conquer scheme, which is made efficient by a variant of dynamic programming. They are essentially based on two simple observations about triangulations, which give rise to triangle splits and paths splits. While each of the first two algorithms uses only one of these split types, the last two algorithms combine them in order to achieve certain improvements and thus to reduce the time complexity. By discussing this sequence of four algorithms we try to bring out the core ideas as clearly as possible and thus strive to achieve a deeper understanding as well as a simpler specification of these approaches. In addition, we implemented all four algorithms in Java and report results of experiments we carried out with this implementation.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Computational Mathematics,Computational Theory and Mathematics,Geometry and Topology,Theoretical Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Mesh to Improve the Triangular Expansion Algorithm for Computing Visibility Regions;SN Computer Science;2024-02-10

2. Adjusted Harris Hawks Optimization for the Minimum Weight Triangulation;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

3. Triangular Expansion Revisited: Which Triangulation Is The Best?;Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics;2022

4. Minimum Weight Triangulation;Encyclopedia of Algorithms;2016

5. On a Linear Program for Minimum-Weight Triangulation;SIAM Journal on Computing;2014-01

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