Binary Search Tree: Difference between revisions

From Wiki :-)
Jump to navigation Jump to search
Created page with "A Binary Search Tree is a binary tree with a specific ordering property: for any sub-tree, the left nodes is less that the root node and the right nodes is bigger to the root..."
 
No edit summary
 
(One intermediate revision by the same user not shown)
Line 7: Line 7:
'''Find''' and '''insert''' operations in a '''unbalanced''' Search Tree is '''O(n)''' whereas it is '''O(log n)''' in a '''balanced''' tree.
'''Find''' and '''insert''' operations in a '''unbalanced''' Search Tree is '''O(n)''' whereas it is '''O(log n)''' in a '''balanced''' tree.


There are 3 ways to traverse a binary tree:
* In-order: left node, root node, the then right node
* Pre-order: the root, the left node, then the right node
* Post-order: the left node, the right node, then the root node
In order in Binary Search Tree, the in-order traversal is preferred.
In order in Binary Search Tree, the in-order traversal is preferred.

Latest revision as of 05:10, 3 October 2020

A Binary Search Tree is a binary tree with a specific ordering property: for any sub-tree, the left nodes is less that the root node and the right nodes is bigger to the root node.

Searching in a Binary Search Tree is really fast thanks to its ordering property.

Insertion in a Binary Search Tree can unbalance the tree.

Find and insert operations in a unbalanced Search Tree is O(n) whereas it is O(log n) in a balanced tree.

In order in Binary Search Tree, the in-order traversal is preferred.