AVL search trees and rotations
An AVL binary search tree maintains subtree heights differing by at most one at every node.
Key knowledge
An AVL binary search tree maintains subtree heights differing by at most one at every node. Its height is O(log n); search and updates with local rotations and maintained heights take O(log n) worst-case time.
Conditions and scope
- Keys have a consistent total order and comparisons have bounded cost.
- Rotations preserve in-order order; an unbalanced search tree can have linear height.
Sources · 1
References
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Evidence and review
Lecture 7 height-balance recurrence, local/global rebalancing and height augmentation.
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Entry details
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