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Self-balancing binary search tree data structure From Wikipedia, the free encyclopedia
A left-leaning red–black (LLRB) tree is a type of self-balancing binary search tree, introduced by Robert Sedgewick. It is a variant of the red–black tree and guarantees the same asymptotic complexity for operations, but is designed to be easier to implement.[1]
Left-leaning red–black tree | ||||||||||||||||||||||||
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Type | tree | |||||||||||||||||||||||
Invented | 2008 | |||||||||||||||||||||||
Invented by | Robert Sedgewick | |||||||||||||||||||||||
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A left-leaning red-black tree satisfies all the properties of a red-black tree:
Additionally, the left-leaning property states that:
The left-leaning property reduces the number of cases that must be considered when implementing search tree operations.
LLRB trees are isomorphic 2–3–4 trees. Unlike conventional red-black trees, the 3-nodes always lean left, making this relationship a 1 to 1 correspondence. This means that for every LLRB tree, there is a unique corresponding 2–3–4 tree, and vice versa.
If we impose the additional requirement that a node may not have two red children, LLRB trees become isomorphic to 2–3 trees, since 4-nodes are now prohibited. Sedgewick remarks that the implementations of LLRB 2–3 trees and LLRB 2–3–4 trees differ only in the position of a single line of code.[1]
All of the red-black tree algorithms that have been proposed are characterized by a worst-case search time bounded by a small constant multiple of log N in a tree of N keys, and the behavior observed in practice is typically that same multiple faster than the worst-case bound, close to the optimal log N nodes examined that would be observed in a perfectly balanced tree.
Specifically, in a left-leaning red-black 2–3 tree built from N random keys, Sedgewick's experiments suggest that:
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