What is the time complexity of searching for a value in a binary search tree (BS

Practice Questions

Q1
What is the time complexity of searching for a value in a binary search tree (BST) with n nodes?
  1. O(n)
  2. O(log n)
  3. O(n log n)
  4. O(1)

Questions & Step-by-Step Solutions

What is the time complexity of searching for a value in a binary search tree (BST) with n nodes?
  • Step 1: Understand what a binary search tree (BST) is. A BST is a data structure where each node has at most two children, and the left child is less than the parent node, while the right child is greater.
  • Step 2: Know that searching in a BST involves comparing the value you are looking for with the values in the nodes, starting from the root.
  • Step 3: In a balanced BST, the height of the tree is log(n), where n is the number of nodes. This means you can find the value by going down the tree, making at most log(n) comparisons.
  • Step 4: In the worst case, if the BST is unbalanced (like a linked list), the height can be n. This means you may have to check every node, resulting in n comparisons.
  • Step 5: Therefore, the average time complexity for searching in a balanced BST is O(log n), while in the worst case (unbalanced), it is O(n).
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