Abstract

In this paper we develop a technique for transforming an internal-memory tree data structure into an external-memory structure. We show how the technique can be used to develop a search tree like structure, a priority queue, a (one-dimensional) range tree and a segment tree, and give examples of how these structures can be used to develop efficient I/O algorithms. All our algorithms are either extremely simple or straightforward generalizations of known internal-memory algorithms - given the developed external data structures. We believe that algorithms relying on the developed structure will be of practical interest due to relatively small constants in the asymptotic bounds.

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