Binary Tree — Classic Problems | Binary Tree — Classic Problems | Selection With Sathi

📚 Binary Tree — Classic Problems | Binary Tree — Classic Problems
LCA, Diameter, Balanced Check, Mirror & Tree Views with code

📌 Key Formulas:
1. Lowest Common Ancestor (LCA): LCA(p, q) = deepest node that is ancestor of both p and q
2. Diameter of Binary Tree: Diameter = longest path between any two nodes (in edges)
3. Check if Height-Balanced — O(n): Balanced: |height(left) - height(right)| ‹= 1 for every node
4. Mirror & Symmetric Tree Check: Mirror: swap left and right recursively | Symmetric: left mirrors right
5. Binary Tree Views (Left, Right, Top, Bottom): Left view: first node at each level | Right view: last node at each level

⏱️ Timestamps:
0:00 Introduction
0:27 Lowest Common Ancestor (LCA)
1:08 Diameter of Binary Tree
1:54 Check if Height-Balanced — O(n)
2:41 Mirror & Symmetric Tree Check
3:30 Binary Tree Views (Left, Right, Top, Bottom)
4:11 Find LCA of Nodes 4 and 5
5:05 Calculate Diameter of Binary Tree
5:59 Check if Tree is Balanced
6:54 Mirror a Binary Tree — Before & After
7:39 Left View & Right View of Binary Tree
8:19 Quick Tips & Tricks | टिप्स
9:02 Summary | सारांश

💡 Quick Tips:
• LCA in binary tree is O(n); in BST it is O(h) because you can compare values to choose left or right
• Diameter may not pass through root — always update global max at every node during height computation
• Balanced check: use -1 sentinel for early termination — O(n) instead of naive O(n^2)
• Tree views are BFS variations — left view takes first of level, right view takes last, top/bottom use column index

📚 Useful for: GATE CSE, Placements, Coding Interviews and all govt exams

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