What is the time complexity of searching for a value in a Red-Black tree?

What is the time complexity of searching for a value in a Red-Black tree?

Step 1: Understand what a Red-Black tree is. It is a type of binary search tree that keeps itself balanced.
Step 2: Know that in a binary search tree, you can find a value by comparing it to the current node and deciding to go left or right.
Step 3: Realize that a Red-Black tree maintains balance, which means the height of the tree is kept low.
Step 4: Remember that the height of a balanced tree is proportional to log(n), where n is the number of nodes in the tree.
Step 5: Conclude that searching for a value involves traversing from the root to a leaf, which takes time proportional to the height of the tree.
Step 6: Since the height of a Red-Black tree is O(log n), the time complexity for searching for a value is O(log n).

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