What are the advantages and disadvantages of AVL?

Advantages of AVL trees lie in their ability to ensure O(log n) time complexity for retrieval operations. This efficiency is crucial for large datasets where quick access to information is necessary.

Similarly, AVL trees maintain O(log n) time complexity for insertion operations. This means that adding new elements to the tree does not significantly degrade performance, even as the tree grows.

Deletion operations in AVL trees also benefit from O(log n) time complexity. This ensures that removing elements from the tree is a relatively fast process, even for large and complex structures.

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However, one of the disadvantages of AVL trees is that they are more complex to implement compared to binary search trees. The additional balancing operations required to maintain the tree's properties can make the implementation more challenging.