Range Minima Queries with Respect to a Random Permutation, and Approximate Range Counting

Haim Kaplan*, Edgar Ramos, Micha Sharir

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In approximate halfspace range counting, one is given a set P of n points in ℝd, and an ε>0, and the goal is to preprocess P into a data structure which can answer efficiently queries of the form: Given a halfspace h, compute an estimate N such that (1-ε){pipe}P∩h{pipe}≤N≤(1+ε){pipe}P∩h{pipe}. Several recent papers have addressed this problem, including a study by Kaplan and Sharir (Proc. 17th Annu. ACM-SIAM Sympos. Discrete Algo., pp. 484-493, 2006), which is based, as is the present paper, on Cohen's technique for approximate range counting (Cohen in J. Comput. Syst. Sci. 55:441-453, 1997). In this approach, one chooses a small number of random permutations of P, and then constructs, for each permutation π, a data structure that answers efficiently minimum range queries: Given a query halfspace h, find the minimum-rank element (according to π) in P∩h. By repeating this process for all chosen permutations, the approximate count can be obtained, with high probability, using a certain averaging process over the minimum-rank outputs. In the previous study, the authors have constructed such a data structure in ℝ3, using a combinatorial result about the overlay of minimization diagrams in a randomized incremental construction of lower envelopes. In the present work, we propose an alternative approach to the range-minimum problem, based on cuttings, which achieves better performance. Specifically, it uses, for each permutation, O(n⌊d/2⌋(log log n)c/log ⌊d/2⌋n) expected storage and preprocessing time, for some constant c, and answers a range-minimum query in O(log n) expected time. We also present a different approach, based on "antennas," which is simple to implement, although the bounds on its expected storage, preprocessing, and query costs are worse by polylogarithmic factors.

Original languageEnglish
Pages (from-to)3-33
Number of pages31
JournalDiscrete and Computational Geometry
Issue number1
StatePublished - Jan 2011


FundersFunder number
Israel Science Fund
National Science Foundation338/09, 155/05, 2006/194, CCR-05-14079, CCR-08-30272
United States-Israel Binational Science Foundation975/06
Tel Aviv University


    • Approximate range counting
    • Random sampling
    • Randomized incremental constructions
    • Range minima queries
    • Range searching


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