An algorithm for generalized point location and its applications

  • Authors:
  • Bernard Chazelle;Micha Sharir

  • Affiliations:
  • Dept. of Computer Science, Princeton University, Princeton, NJ 08544, U.S.A.;School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel.

  • Venue:
  • Journal of Symbolic Computation
  • Year:
  • 1990

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Abstract

We show that Collins' classical quantifier elimination procedure contains most of the ingredients for an efficient point location algorithm in higher-dimensional space. This leads to a polynomial-size data structure that allows us to locate, in logarithmic time, a point among a collection of real algebraic varieties of constant maximum degree, assuming that the dimension of the ambient space is fixed. This result has theoretical bearings on a number of optimization problems posed in the literature. It also gives a method for solving multidimensional searching problems in polynomial space and logarithmic query time.