Revision #2 Authors: Bodo Manthey, Rüdiger Reischuk

Accepted on: 29th September 2006 00:00

Downloads: 3669

Keywords:

Binary search trees are one of the most fundamental data structures. While the height of such a tree may be linear in the worst case, the average height with respect to the uniform distribution is only logarithmic. The exact value is one of the best studied problems in average-case complexity.<br>

We investigate what happens in between by analysing the smoothed height of binary search trees: Randomly perturb a given (adversarial) sequence and then take the expected height of the binary search tree generated by the resulting sequence. As perturbation models, we consider partial permutations, partial alterations, and partial deletions.<br>

On the one hand, we prove tight lower and upper bounds of roughly <i>Θ((1-p) √n/p)</i> for the expected height of binary search trees under partial permutations and partial alterations, where <i>n</i> is the number of elements and <i>p</i> is the smoothing parameter. This means that worst-case instances are rare and disappear under slight perturbations. On the other hand, we examine how much a perturbation can increase the height of a binary search tree, i.e. how much worse well balanced instances

can become.

Revision #1 Authors: Bodo Manthey, Rüdiger Reischuk

Accepted on: 27th September 2005 00:00

Downloads: 3079

Keywords:

Binary search trees are one of the most fundamental data structures. While the height of such a tree may be linear in the worst case, the average height with respect to the uniform distribution is only logarithmic. The exact value is one of the best studied problemsin average-case complexity.

We investigate what happens in between by analysing the smoothed height of binary search trees: Randomly perturb a given (adversarial) sequence and then take the expected height of the binary search tree generated by the resulting sequence. As perturbation models, we consider partial permutations, partial alterations, and partial deletions.

On the one hand, we prove tight lower and upper bounds of roughly Θ(√n) for the expected height of binary search trees under partial permutations and partial alterations. This means that worst-case instances are rare and disappear under slight perturbations. On the other hand, we examine how much a perturbation can increase the height of a binary search tree, i.e. how much worse well balancedinstances can become.

TR05-063 Authors: Bodo Manthey, Rüdiger Reischuk

Publication: 25th June 2005 12:56

Downloads: 3715

Keywords:

Binary search trees are one of the most fundamental data structures. While the

height of such a tree may be linear in the worst case, the average height with

respect to the uniform distribution is only logarithmic. The exact value is one

of the best studied problems in average case complexity.