Range searching with efficient hierarchical cuttings

  • Authors:
  • Jiří Matoušek

  • Affiliations:
  • -

  • Venue:
  • SCG '92 Proceedings of the eighth annual symposium on Computational geometry
  • Year:
  • 1992

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Abstract

We present an improved space/query time tradeoff for the general simplex range searching problem, matching known lower bounds up to small polylogarithmic factors. In particular, we construct a linear-space simplex range searching data structure with O(n1–1/d) query time, which is optimal for d=2 and probably also for d2. Further we show that multilevel range searching data structures can be built with only a polylogarithmic overhead in space and query time per level (the previous solutions require at least a small fixed power of n). We show that Hopcroft's problem (detecting an incidence among n lines and n points) can be solved in time n4/32O(log n). In all these algorithms, we apply Chazelle's results on computing optimal cuttings.