Tree Terminology: Root, Leaf, Height, Depth, Level
📖 Scenario: Imagine you are organizing a family tree. Each person is a node. The oldest ancestor is the root. People with no children are leaves. You want to understand the tree structure by finding the root, leaves, height, depth, and level of each person.
🎯 Goal: You will create a simple tree structure in C++. Then, you will identify the root node, find all leaf nodes, calculate the height of the tree, and determine the depth and level of each node.
📋 What You'll Learn
Create a tree using nodes with integer values
Identify the root node
Find all leaf nodes
Calculate the height of the tree
Calculate the depth and level of each node
Print the root, leaves, height, depth, and level information
💡 Why This Matters
🌍 Real World
Trees are used in many real-world applications like family trees, file systems, and organizational charts. Understanding tree terminology helps in navigating and managing these structures.
💼 Career
Knowledge of tree structures and their properties is essential for software developers, especially those working with databases, compilers, and hierarchical data.
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