What is the average time complexity for inserting an element in a balanced binar

Practice Questions

Q1
What is the average time complexity for inserting an element in a balanced binary search tree?
  1. O(n)
  2. O(log n)
  3. O(n log n)
  4. O(1)

Questions & Step-by-Step Solutions

What is the average time complexity for inserting an element in a balanced binary search tree?
  • Step 1: Understand what a balanced binary search tree (BST) is. It is a tree 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 in a balanced BST, the height of the tree is kept to a minimum. This means that the tree is structured in a way that it is not too tall, which helps in keeping operations efficient.
  • Step 3: When you want to insert a new element, you start at the root of the tree and compare the new element with the current node's value.
  • Step 4: If the new element is smaller, you move to the left child; if it is larger, you move to the right child. You repeat this process until you find the correct spot for the new element.
  • Step 5: The maximum number of comparisons you will make is equal to the height of the tree. In a balanced BST, the height is approximately log base 2 of the number of nodes (n).
  • Step 6: Therefore, the average time complexity for inserting an element in a balanced binary search tree is O(log n).
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely