A randomized algorithm for triangulating a simple polygon in linear time

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Abstract

We describe a randomized algorithm for computing the trapezoidal decomposition of a simple polygon. Its expected running time is linear in the size of the polygon. By a well-known and simple linear time reduction, this implies a linear time algorithm for triangulating a simple polygon. Our algorithm is considerably simpler than Chazelle's [3] celebrated optimal deterministic algorithm. The new algorithm can be viewed as a combination of Chazelle's algorithm and of simple nonoptimal randomized algorithms due to Clarkson et al. [6], [7], [9] and to Seidel [20]. As in Chazelle's algorithm, it is indispensable to include a bottom-up preprocessing phase, in addition to the actual top-down construction. An essential new idea is the use of random sampling on subchains of the initial polygonal chain, rather than on individual edges as is normally done.

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Amato, N. M., Goodrich, M. T., & Ramos, E. A. (2001). A randomized algorithm for triangulating a simple polygon in linear time. Discrete and Computational Geometry, 26(2), 245–265. https://doi.org/10.1007/s00454-001-0027-x

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