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Pre-order Traversal of Binary Trees
DSA In-order Traversal
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DSA Array Implementation
DSA Binary Search Trees
DSA AVL Trees
DSA Graphs
⭐ DSA AVL Trees – Complete Guide & Interactive Visualizer (GoNimbus)
🔷 Introduction to AVL Trees
AVL Trees are self-balancing Binary Search Trees (BSTs).
They automatically adjust their structure after every insertion or deletion to maintain the height balance.
An AVL tree ensures:
✔ Faster search
✔ Faster insertion
✔ Faster deletion
✔ Guaranteed O(log n) height
This balance is maintained using Balance Factors and Tree Rotations.
🔷 Why AVL Trees? (Key Features)
✔ Self-balancing – maintains height difference ≤ 1
✔ Guaranteed performance for large datasets
✔ Supports Insert, Delete, Search efficiently
✔ Avoids worst-case BST behavior
✔ Used in databases, indexing systems, memory managers, compilers, file systems
⭐ AVL Tree Time Complexity
| Operation | Time Complexity |
|---|---|
| Search | O(log n) |
| Insert | O(log n) |
| Delete | O(log n) |
| Traversal | O(n) |
🔷 Balance Factor
Every node has a balance factor = height(left) – height(right)
Valid values: −1, 0, +1
If the factor becomes < -1 or > +1, the tree becomes unbalanced and must be rotated.
⭐ Types of AVL Rotations
1️⃣ LL Rotation (Left-Left)
Occurs when a node is inserted in the left subtree of left child.
2️⃣ RR Rotation (Right-Right)
Occurs when inserted in the right subtree of right child.
3️⃣ LR Rotation (Left-Right)
Occurs when inserted in left subtree of right child of left child.
4️⃣ RL Rotation (Right-Left)
Occurs when inserted in right subtree of left child of right child.
⏳ Retracing in AVL Trees
After inserting or deleting a node:
✔ Heights are recalculated along the path back to the root
✔ Balance factors are updated
✔ Rotation is performed if necessary
This restores AVL balance.
🔷 AVL Tree Applications
AVL Trees are widely used in:
✔ Databases (indexing, lookups)
✔ Memory management systems
✔ Embedded systems
✔ Networking (routing tables)
✔ File systems
✔ Gaming engines (collision detection)
AVL trees guarantee predictable performance even in worst-case scenarios.
📌 AVL Tree Example
- Insert numbers → tree rebalances automatically
- Visual rotations help you understand retracing
- Step-by-step execution improves learning
🎓 Who Should Learn AVL Trees?
- Engineering students preparing for DSA / placements
- Competitive programmers
- Computer science tutors
- Anyone who wants to strengthen data structures knowledge
⭐ Why GoNimbus DSA Tools?
GoNimbus provides:
✔ Real-time DSA visualizers
✔ Clean & modern UI
✔ Mobile responsive interactive tools
✔ Student-friendly explanations
✔ Free learning tools for everyone
📘 Conclusion
AVL Trees are a fundamental concept in DSA, forming the foundation for advanced balanced tree structures such as Red-Black Trees, Treaps, and B-Trees.
Using the GoNimbus AVL Visualizer, you can understand the rotations, retracing path, and balancing operations like never before.