Arya, Sunil and Cheng, Siu-Wing and Mount, David M and Ramesh, H
(2000)
*Efficient Expected-Case Algorithms for Planar Point Location.*
In: 7th Scandinavian Workshop on Algorithm Theory- SWAT 2000, July 2000, Bergen, Norway, pp. 353-366.

PDF
Expected.pdf - Published Version Restricted to Registered users only Download (188kB) | Request a copy |

## Abstract

Planar point location is among the most fundamental search problems in computational geometry. Although this problem has been heavily studied from the perspective of worst-case query time, there has been surprisingly little theoretical work on expected-case query time. We are given an n-vertex planar polygonal subdivision S satisfying some weak assumptions (satisfied, for example, by all convex subdivisions). We are to preprocess this into a data structure so that queries can be answered efficiently. We assume that the two coordinates of each query point are generated independently by a probability distribution also satisfying some weak assumptions (satisfied, for example, by the uniform distribution). In the decision tree model of computation, it is well-known from information theory that a lower bound on the expected number of comparisons is entropy(S). We provide two data structures, one of size O(n(2)) that can answer queries in 2 entropy(S) + O(1) expected number of comparisons, and another of size O(n) that can answer queries in (4 + O(1/root log n)) entropy(S) + O(1) expected number of comparisons. These structures can be built in O(n(2)) and O(n log n) time respectively. Our results are based on a recent result due to Arya and Fu, which bounds the entropy of overlaid subdivisions.

Item Type: | Conference Paper |
---|---|

Publication: | Algorithm Theory Swat 2000 |

Publisher: | Springer Verlag |

Additional Information: | Copyright for this article belongs to Springer Verlag. |

Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |

Date Deposited: | 27 Sep 2004 |

Last Modified: | 11 Jan 2012 08:37 |

URI: | http://eprints.iisc.ac.in/id/eprint/1672 |

### Actions (login required)

View Item |