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A Binary Search Tree is binary tree which is either empty or a node having a key value, left child & right child.
By analyzing the above definition, we notice that BST comes into two variants namely empty BST & non-empty BST.
The empty BST contain no added structure, whereas the non-empty BST contain three components.
The non-empty BST satisfies the given conditions:
a) The key within the left child of node (if exists) is less than the key in its parent node.
b) The key within the right child of a node (if exists) is greater than the key in its parent node.
c) The left & right sub trees of the root are binary search trees again.
The given are some operations which can be performed on Binary search trees:
AVL trees are applied into the given situations: There are few insertion & deletion operations Short search time is required Input data is sorted or nearly sorted
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Binary: Each node has one, zero, or two children. This assertion creates many tree operations efficient and simple. Binary Search : A binary tree where each and every left
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