What is the worst-case time complexity for searching an element in a Red-Black T

What is the worst-case time complexity for searching an element in a Red-Black Tree?

What is the worst-case time complexity for searching an element in a Red-Black Tree?

Step 1: Understand what a Red-Black Tree is. It is a type of self-balancing binary search tree.
Step 2: Know that in a binary search tree, elements are organized in a way that allows for efficient searching.
Step 3: Recognize that a Red-Black Tree maintains balance through specific rules, which helps keep the tree height low.
Step 4: Realize that the height of a balanced tree is proportional to the logarithm of the number of elements (n) in the tree.
Step 5: Conclude that searching for an element in a Red-Black Tree will take time proportional to the height of the tree.
Step 6: Since the height of a Red-Black Tree is O(log n), the worst-case time complexity for searching is O(log n).

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