Binary Search Tree

A binary search tree is a data structure that is divided into nodes, each containing a key value and two child nodes (left and right). The key values in the left subtree are smaller than the key value of the parent node, while the key values in the right subtree are larger.

Advantages Over Other Data Structures

Binary search trees offer several advantages compared to other data structures:

• Efficient Search Operations: Binary search trees allow for efficient searching of elements, with a time complexity of O(log n) in the average case.
• Ordered Data: The key values in a binary search tree are ordered, making it easy to perform operations like finding the minimum and maximum values.
• Space Efficiency: Binary search trees take up relatively less memory compared to other data structures like arrays or linked lists.
• Balanced Structure: Balanced binary search trees ensure that the height of the tree remains logarithmic, leading to faster search operations.

Overall, the binary search tree is a versatile data structure that offers efficient search operations and ordered data, making it a popular choice in various applications.