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Class notes Tree Data Structure

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This comprehensive Tree Data Structure notes bundle includes clear, concise theory, multiple-choice questions (MCQs), previous year questions (PYQs), and a curated set of practice problems. Designed for quick understanding and effective revision, it covers key topics like Binary Trees, BSTs, AVL Trees, Tree Traversals, and more. Ideal for semester exams, GATE preparation, and technical interviews.

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Data Structure & Algorithm



Chapter: Tree Data Structure




"Just like a tree grows from its root, every algorithm
branches from the basics. Mastering the Tree will help to
understand the structure of complexity."

, What is a Binary Tree?
A Binary Tree is a hierarchical data structure where each node has at most two
children, typically referred to as the left and right child.
Example:
• Each circle represents a node.
• Arrows show parent → child relationships.




Types of Traversals:-
Traversal is the process of visiting each node in a tree systematically.
1. Preorder (Root → Left → Right)
Visit the root, then the left subtree, then the right subtree.
➤ Example: A B D E C F G
2. Inorder (Left → Root → Right)
Visit the left subtree, then the root, then the right subtree.
➤ Example: D B E A F C G
Used in Binary Search Trees to get sorted output.
3. Postorder (Left → Right → Root)
Visit both subtrees first, then the root.
➤ Example: D E B F G C A
4. Level-Order (Breadth First Search)
Visit all nodes level by level from top to bottom using a queue.
➤ Example: A B C D E F G

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Mr. krishan kumar
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Class 1-3

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