Table of Contents
- 1 What is the time complexity for the height of binary tree?
- 2 What is the time complexity of finding the height of a balanced binary tree recursively?
- 3 What is the time complexity for finding the height of Binary tree Mcq?
- 4 What is the time complexity of following function fun ()?
- 5 What is the time complexity of binary search Mcq?
- 6 What is the height of the binary tree using iterative method?
- 7 What is the time complexity of iterative tree traversal?
What is the time complexity for the height of binary tree?
O(n)
The time complexity of the algorithm is O(n) as we iterate through node of the binary tree calculating the height of the binary tree only once. And the space complexity is also O(n) as we are following recursion, where recursive stack can have upto n elements.
What is the time complexity of finding the highest of the binary tree?
Best Case- The binary search tree is a balanced binary search tree. Height of the binary search tree becomes log(n). So, Time complexity of BST Operations = O(logn).
What is the time complexity of finding the height of a balanced binary tree recursively?
It is linear as we are traversing the all nodes of the binary tree recursively and maintaining the height. So, the time complexity is O(N) where N is the number of nodes in the tree.
What is the time complexity for finding the height of a binary tree Mcq?
Discussion Forum
| Que. | What is the time complexity for finding the height of the binary tree? |
|---|---|
| b. | h = O(nlogn) |
| c. | h = O(n) |
| d. | h = O(log n) |
| Answer:h = O(log n) |
What is the time complexity for finding the height of Binary tree Mcq?
h = O(loglogn)
What is the time complexity for finding the height?
h = O(n)
What is the time complexity of following function fun ()?
So time complexity of fun() is θ(n log n).
What is the time complexity for finding the height of the skew tree?
What is the time complexity of binary search Mcq?
Time complexity of the binary search algorithm is constant. Explanation: It is O(log2n), therefore complexity will be logarithmic.
What is the time complexity of the binary tree algorithm?
The algorithm can be implemented as follows in C++, Java, and Python: The time complexity of the above iterative solution is O (n), where n is the total number of nodes in the binary tree. The auxiliary space required by the program is O (h) for the call stack, where h is the height of the tree.
What is the height of the binary tree using iterative method?
// at current level. The height of the binary tree using iterative method is: 5. Time Complexity: O (n) where n is the number of nodes in a given binary tree. Space Complexity: O (n) where n is the number of nodes in a given binary tree.
How do you find the height of a binary search tree?
What is the best case time complexity to find the height of a Binary Search Tree? T ( n) = 2 T ( n 2) + c. Here T ( n 2) is for each of the recursive calls, and c for all the rest. So even best case complexity is O ( n). and this would be a case of a skewed BST. Still, here complexity remains O ( n).
What is the time complexity of iterative tree traversal?
The time complexity of the above iterative solution is O (n), where n is the total number of nodes in the binary tree. The auxiliary space required by the program is O (h) for the call stack, where h is the height of the tree. In an iterative version, perform a level order traversal on the tree.