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An evaluation of self-adjusting binary search tree techniques
1993
Software, Practice & Experience
Much has been said in praise of self-adjusting data structures, particularly self-adjusting binary search trees. Self-adjusting trees are most suited to skewed key-access distributions as the techniques attempt to place the most commonly accessed keys near the root of the tree. Theoretical bounds on worst-case and amortized performance (i.e. performance over a sequence of operations) have been derived which compare well with those for optimal binary search trees. In this paper, we compare the
doi:10.1002/spe.4380230403
fatcat:jwllductsrdhre6n4pkrfim5fe