What is the worst-case time complexity for searching an element in a binary sear
Practice Questions
Q1
What is the worst-case time complexity for searching an element in a binary search tree?
O(n)
O(log n)
O(n log n)
O(1)
Questions & Step-by-Step Solutions
What is the worst-case time complexity for searching an element in a binary search tree?
Step 1: Understand what a binary search tree (BST) is. A BST is a data structure that stores elements in a way that for any given node, all elements in the left subtree are smaller, and all elements in the right subtree are larger.
Step 2: Know that in a balanced BST, searching for an element takes O(log n) time because you can eliminate half of the tree with each comparison.
Step 3: Recognize that in the worst case, a BST can become unbalanced, resembling a linked list. This happens when elements are inserted in a sorted order.
Step 4: In this unbalanced state, to find an element, you may have to check every node one by one, leading to a time complexity of O(n).
Step 5: Conclude that the worst-case time complexity for searching an element in a binary search tree is O(n).
