Binary search tree: Difference between revisions
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{{#ev:youtube|https://www.youtube.com/watch?v=AdhRIRgVZVw|500|right|Binary search tree|frame}} | |||
[[File:Bst.png|300px|thumb|right|Simple Binary Search tree]] | [[File:Bst.png|300px|thumb|right|Simple Binary Search tree]] | ||
== General Information == | == General Information == |
Revision as of 17:20, 17 June 2015
General Information
Abstract data structure: Sorted sequence
Implementation invariant:
- There is a tree item type with three components:
- key is of generic type [math]\displaystyle{ \mathcal{K} }[/math],
- left and right of type "pointer to tree item of type [math]\displaystyle{ \mathcal{K} }[/math]."
- An object of the binary search tree type contains a pointer root of type "pointer to tree item of type [math]\displaystyle{ \mathcal{K} }[/math]."
- The pointer root points to a well-formed binary search tree. In accordance with the definition of directed trees, "well-formed" means that, for any node, there is exactly one path from the root to that node.
Remark
- Besides the methods of sorted sequences, binary search trees in the implementation chosen here have a private method Binary Search Tree:Remove node, which receives a pointer [math]\displaystyle{ p }[/math] to a binary search tree node and removes it (possibly by removing another node and overwriting the key to be removed with the key of the other node. Prerequisite: [math]\displaystyle{ p }[/math].left [math]\displaystyle{ \neq }[/math]void.
- There are variants on binary search trees, such as AVL trees and red-black-trees, for which the height of the tree is guaranteed to be in [math]\displaystyle{ O(\log{n}) }[/math] at any time (because the additional operations to maintain logarithmic height are linear in the height of the tree as well).
- The mathematical concept behind this data structure is described in the section on binary search trees of page Directed Tree.