What is the time complexity of searching for an element in a balanced binary sea

Practice Questions

Q1
What is the time complexity of searching for 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 time complexity of searching for an element in a balanced binary search tree?
  • Step 1: Understand what a balanced binary search tree is. It is a tree structure where each node has at most two children, and the tree is balanced, meaning the height is kept low.
  • Step 2: Know that in a binary search tree, for any given node, all values in the left subtree are less than the node's value, and all values in the right subtree are greater.
  • Step 3: When searching for an element, you start at the root of the tree and compare the target value with the value of the current node.
  • Step 4: If the target value is less than the current node's value, you move to the left child; if it is greater, you move to the right child.
  • Step 5: Repeat this process until you find the target value or reach a leaf node (a node with no children).
  • Step 6: In a balanced binary search tree, the height of the tree is approximately log base 2 of the number of nodes (n), which means you will make at most log n comparisons to find the element.
  • Step 7: Therefore, the time complexity for searching for an element in a balanced binary search tree is O(log n).
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