AN OPTIMAL DYNAMIC DATA STRUCTURE FOR STABBING-SEMIGROUP QUERIES

Let S be a set of n intervals in R, and let (S, +) be any commutative semigroup. We assign a weight omega(s) is an element of S to each interval in S. For a point x is an element of R, let S(x) subset of S be the set of intervals that contain x. Given a point q is an element of R, the stabbing-semigroup query asks for computing Sigma(s is an element of S(q)) omega(s). We propose a linear-size dynamic data structure, under the pointer-machine model, that answers queries in worst-case O(log n) time and supports both insertions and deletions of intervals in amortized O(log n) time. It is the first data structure that attains the optimal O(log n) bound for all three operations. Furthermore, our structure can easily be adapted to external memory, where we obtain a linear-size structure that answers queries and supports updates in O(logB n) I/Os, where B is the disk block size. For the restricted case of a nested family of intervals (either every pair of intervals is disjoint or one contains the other), we present a simpler solution based on dynamic trees