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Binary Search Tree
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A Binary Search Tree is a data structure used in computer science for organizing and storing data in a sorted manner. Each node in a Binary Search Tree has at most two children, a left child and a right child, with the left child containing values less than the parent node and the right child containing values greater than the parent node. This hierarchical structure allows for efficient searching, insertion, and deletion operations on the data stored in the tree.
Basic Operations on BST:
Insertion in Binary Search Tree
Searching in Binary Search Tree
Deletion in Binary Search Tree
Binary Search Tree (BST) Traversals – Inorder, Preorder, Post Order
Convert a normal BST to Balanced BST
Properties of Binary Search Tree:
The left subtree of a node contains only nodes with keys lesser than the node's key.
The right subtree of a node contains only nodes with keys greater than the node's key.
This means everything to the left of the root is less than the value of the root and everything to the right of the root is greater than the value of the root. Due to this performing, a binary search is very easy.
The left and right subtree each must also be a binary search tree.
There must be no duplicate nodes(BST may have duplicate values with different handling approaches)
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