Table of Contents
What is the formula to find the height of a binary tree?
If you have N elements, the minimum height of a binary tree will be log2(N)+1. For a full binary tree, the maximum height will be N/2. For a non-full binary tree, the maximum height will be N.
What is the average case time complexity for finding the height of a binary tree Mcq?
Explanation: The nodes are either a part of left sub tree or the right sub tree, so we don’t have to traverse all the nodes, this means the complexity is lesser than n, in the average case, assuming the nodes are spread evenly, the time complexity becomes O(logn). 6.
What is the time complexity for finding the height of binary tree Mcq?
h = O(loglogn)
What is the time complexity of a binary search tree?
In general, time complexity is O (h). AVL tree is binary search tree with additional property that difference between height of left sub-tree and right sub-tree of any node can’t be more than 1. For example, BST shown in Figure 2 is not AVL as difference between left sub-tree and right sub-tree of node 3 is 2.
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.
What is the height of the binary tree at 90 nodes?
For the leaf node 90, the number of nodes along the edges is 4. The maximum number of node from root to farthest leaf is: max (4, 4, 3, 4) is 4. Hence, height of the binary tree is 4. There are two methods to approach this problem statement.
What is depth in binary tree data structure?
A related concept in binary tree data structure is the depth of the tree. According to the definition of depth of a node in the binary tree is the total amount of edges starting from the root node to the destination node.