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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:
Construct a B+ tree for the following keys, starting with an empty tree. Each node in the tree can hold a maximum of 2 entries (i.e., order d = 1). Start with an empty root nod
Inorder traversal: The left sub tree is visited, then the node and then right sub-tree. Algorithm for inorder traversal is following: traverse left sub-tree visit node
Thread By changing the NULL lines in a binary tree to special links known as threads, it is possible to perform traversal, insertion and deletion without using either a stack
Implementation of Stack :- Stacks can be executed in the 2 ways: a) Arrays b) Linked List
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By taking an appropriate example explain how a general tree can be represented as a Binary Tree. C onversio
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