A binary tree is a data structure used in computer science to organize and store data. It consists of nodes connected by edges, where each node can have at most two children nodes. The topmost node in a binary tree is called the root, and the nodes with no children are called leaf nodes. Binary trees are commonly used in search algorithms, sorting algorithms, and data compression algorithms.
Here are three sources for further reading on binary trees:
“Binary Trees” by GeeksforGeeks: This article provides an introduction to binary trees, including their structure, properties, and common operations. It also provides several examples of binary tree algorithms and applications.
https://www.geeksforgeeks.org/binary-tree-data-structure/
“Introduction to Binary Trees” by Data Structures Easy to Advanced Course: This video provides an overview of binary trees, including their structure, traversal algorithms, and balanced tree variations. It also provides examples of binary tree applications and problem-solving techniques.
“Binary Trees and Their Applications” by HackerRank: This article provides an in-depth look at binary trees and their various applications, including binary search trees, AVL trees, and Huffman coding. It also provides several coding challenges and solutions related to binary trees.
https://www.hackerrank.com/topics/binary-trees
