Skip Lists: A Probabilistic Alternative to Balanced Trees

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Abstract

Skip lists are data structures that use probabilistic balancing rather than strictly enforced balancing. As a result, the algorithms for insertion and deletion in skip lists are much simpler and significantly faster than equivalent algorithms for balanced trees. © 1990, ACM. All rights reserved.

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APA

Pugh, W. (1990). Skip Lists: A Probabilistic Alternative to Balanced Trees. Communications of the ACM, 33(6), 668–676. https://doi.org/10.1145/78973.78977

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