Given a Binary Tree, the task is to find the Coefficient of Range in it.
Range is defined as the difference between the maximum and minimum value in a set of data and Coefficient of Range is the relative measure of the dispersion of the range. Suppose the maximum value in a data set is maxVal and minimum value is minVal then the coefficient of range can be defined as:
Coefficient of range = (maxVal – minVal)/(maxVal + minVal)
Consider the below Binary Tree:
For example, maximum in the above Binary Tree is 9 and minimum is 1 so coeffcient of range is ((9 – 1)/ ( 9 + 1)) = 0.8.
Approach: In Binary Search Tree, we can find maximum by traversing right pointers until we reach rightmost node. But in Binary Tree, we must visit every node to figure out maximum. So the idea is to traverse the given tree and for every node return maximum of 3 values.
- Node’s data.
- Maximum in node’s left subtree.
- Maximum in node’s right subtree.
Similarly, find the minimum value in the Binary Tree and calculate the coefficient of range.
Below is the implementation of the above approach:
Coefficient of Range is 0.833333
Time complexity : O(n) where n is the number of nodes.
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- Convert a Binary Tree to Threaded binary tree | Set 2 (Efficient)
- Convert a Binary Tree to Threaded binary tree | Set 1 (Using Queue)
- Check if a binary tree is subtree of another binary tree | Set 2
- Binary Tree to Binary Search Tree Conversion using STL set
- Difference between Binary Tree and Binary Search Tree
- Check whether a given binary tree is skewed binary tree or not?
- Check whether a binary tree is a full binary tree or not
- Binary Tree to Binary Search Tree Conversion
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