Tree and Graph
Trees & Graphs in DSA
💡 Core Idea: Trees = hierarchical data, Graphs = relationships between nodes.
🌳 Trees
Basic Terminology
- Root, Parent, Child
- Leaf Node
- Height & Depth
Types of Trees
- Binary Tree
- BST
- AVL Tree
- Red-Black Tree
Traversal Techniques
- Inorder, Preorder, Postorder
- Level Order
🔗 Graphs
Graph Representation
- Adjacency Matrix
- Adjacency List
Types of Graphs
- Directed / Undirected
- Weighted
- Acyclic
Graph Traversal
- DFS
- BFS
📚 Important Problems
- Lowest Common Ancestor
- Binary Tree Path Sum
- Dijkstra’s Algorithm
- Minimum Spanning Tree
☕ Java Implementation
Java provides collections and custom class structures to implement trees and graphs efficiently.
🎯 Conclusion
Trees and graphs are among the most important DSA topics and are heavily used in interviews and real-world systems.
❓ FAQs
- Used in networks, maps, AI systems
- Practice problems regularly
- DFS/BFS are must-know