What is the space complexity of a recursive implementation of binary tree traver

What is the space complexity of a recursive implementation of binary tree traversal?

What is the space complexity of a recursive implementation of binary tree traversal?

Step 1: Understand what space complexity means. It refers to the amount of memory space required by an algorithm as a function of the input size.
Step 2: Recognize that in a recursive function, each function call uses some space on the call stack.
Step 3: Identify that in a binary tree traversal, we visit each node of the tree recursively.
Step 4: Note that in the worst case, the height of the tree can be equal to the number of nodes (n) if the tree is skewed (like a linked list).
Step 5: Understand that the maximum depth of the recursion stack will be equal to the height of the tree, which can be O(n) in the worst case.
Step 6: Conclude that the space complexity of the recursive implementation of binary tree traversal is O(n) because of the recursion stack.

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