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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:
Worst Fit method:- In this method the system always allocate a portion of the largest free block in memory. The philosophy behind this method is that by using small number of a ve
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Step-1: For the current node, verify whether it contain a left child. If it has, then go to step-2 or else go to step-3 Step-2: Repeat step-1 for left child Step-3: Visit (th
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