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Farthest-point queries with geometric and combinatorial constraints
Authors:Ovidiu Daescu  Ningfang Mi  Chan-Su Shin  Alexander Wolff  
Institution:

aDepartment of Computer Science, University of Texas at Dallas, Richardson, TX 75083, USA

bDepartment of Computer Science, College of William and Mary, P.O. Box 8795, Williamsburg, VA 23187-8795, USA

cSchool of Electronics and Information Engineering, Hankuk University of Foreign Studies, Korea

dDepartment of Computer Science, Karlsruhe University, P.O. Box 6980, D-76128 Karlsruhe, Germany

Abstract:In this paper we discuss farthest-point problems in which a set or sequence S of n points in the plane is given in advance and can be preprocessed to answer various queries efficiently. First, we give a data structure that can be used to compute the point farthest from a query line segment in O(log2n) time. Our data structure needs O(nlogn) space and preprocessing time. To the best of our knowledge no solution to this problem has been suggested yet. Second, we show how to use this data structure to obtain an output-sensitive query-based algorithm for polygonal path simplification. Both results are based on a series of data structures for fundamental farthest-point queries that can be reduced to each other.
Keywords:Farthest-point queries  Line-segment queries  Polygonal path simplification
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