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Given a set of points in a d-dimensional space, an orthogonal range query is a request for the number of points in a specified d-dimensional box. We present a data structure and algorithm which enable one to insert and delete points and to perform orthogonal range queries. The worstcase time complexity for n operations is O(n logd n); the space usea is O(n logd-1 n). (O-notation here is with respect to n; the constant is allowed to depend on d.) Next we briefly discuss decision tree bounds on the complexity of orthogonal range queries. We show that a decision tree of height O(dn log n) (Where the implied constant does not depend on d or n) can be constructed to process n operations in d dimensions. This suggests that the standard decision tree model will not provide a useful method for investigating the complexity of such problems.
George S. Lueker (Sun,) studied this question.