What are the differences between AVL and Red-Black trees?

What are the differences between AVL and Red-Black trees?

AVL trees are more rigidly balanced than Red-Black trees, which can lead to faster lookups.

Can you explain how they maintain balance?

AVL trees use rotations to maintain balance after insertions and deletions, while Red-Black trees use color properties.

Which one is better for insertion and deletion operations?

Red-Black trees generally perform better for insertion and deletion due to less strict balancing.

Are there specific use cases for each type?

Yes, AVL trees are preferred for applications requiring frequent lookups, while Red-Black trees are better for dynamic datasets.