How does the height of an AVL tree compare to that of a Red-Black tree?

How does the height of an AVL tree compare to that of a Red-Black tree?

Step 1: Understand what an AVL tree is. It is a type of binary search tree that maintains balance by ensuring the heights of the two child subtrees of any node differ by at most one.
Step 2: Understand what a Red-Black tree is. It is another type of binary search tree that uses color properties (red and black) to ensure the tree remains balanced during insertions and deletions.
Step 3: Compare the balancing methods. AVL trees are more strictly balanced than Red-Black trees, meaning they keep their height smaller by enforcing stricter rules on balance.
Step 4: Consider the height of both trees. Because AVL trees are more strictly balanced, they tend to have a shorter height in the worst-case scenario compared to Red-Black trees.
Step 5: Conclude that in general, AVL trees will have a height that is less than or equal to that of Red-Black trees, especially in the worst case.

AVL Trees vs. Red-Black Trees – AVL trees maintain a stricter balance than Red-Black trees, resulting in a generally shorter height.
Tree Height – The height of a tree affects its performance in search, insert, and delete operations.
Balancing Techniques – Understanding the balancing techniques used in AVL and Red-Black trees is crucial for comparing their heights.