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arXiv · 1810.00715

Adaptive Planar Point Location

Siu-Wing Cheng·Man-Kit Lau
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Abstract

We present self-adjusting data structures for answering point location queries in convex and connected subdivisions. Let $n$ be the number of vertices in a convex or connected subdivision. Our structures use $O(n)$ space. For any convex subdivision $S$, our method processes any online query sequence $\sigma$ in $O(\mathrm{OPT} + n)$ time, where $\mathrm{OPT}$ is the minimum time required by any linear decision tree for answering point location queries in $S$ to process $\sigma$. For connected subdivisions, the processing time is $O(\mathrm{OPT} + n + |\sigma|\log(\log^* n))$. In both cases, the time bound includes the $O(n)$ preprocessing time.

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Siu-Wing Cheng, Man-Kit Lau. 2018-10-01. Adaptive Planar Point Location. https://arxiv.org/abs/1810.00715

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