Finding diameter of a binary tree
Problem statement:-
Given a binary tree, you need to compute the length of the diameter of the tree. The diameter of a binary tree is the length of the longest path between any two nodes in a tree. This path may or may not pass through the root.
Example:
Given a binary tree
1 / \ 2 3 / \ 4 5Return 3, which is the length of the path [4,2,1,3] or [5,2,1,3].
Note: The length of path between two nodes is represented by the number of edges between them.
Algorithm:-
The diameter of binary tree can be defined as max(Length of left subtree, Length of right subtree, Longest path between two nodes that passes through the root).
Steps:-
- Find the height of left subtree.
- Find the height of right subtree.
- Find the left diameter.
- Find the right diameter.
- Return the Maximum(Diameter of left subtree, Diameter of right subtree, Longest path between two nodes which passes through the root.)
Option 1:- O(N2) time complexity
/** * Definition for a binary tree node. * struct TreeNode { * int val; * TreeNode *left; * TreeNode *right; * TreeNode(int x) : val(x), left(NULL), right(NULL) {} * }; */ class Solution { public: int findDiameter(TreeNode * root, int & h) { if (root == NULL) { h = 0; return 0; } int h1 = 0, h2 = 0; int d1 = findDiameter(root -> left, h1); int d2 = findDiameter(root -> right, h2); h = max(h1, h2) + 1; return max(h1 + h2, max(d1, d2)); }int diameterOfBinaryTree(TreeNode * root) {
if (root == NULL) return 0;
int h;
return findDiameter(root, h);
}
};
Option 2:- O(N) time complexity
In below example, we are doing 2 things in one pass , viz. finding the heights of left and right subtrees , computing the max of the left and right heights combined and returning the max of left and right subtree heights + 1 (for the root node)
class Solution { public: int diameterOfBinaryTree(TreeNode * root) { int diameter = 0; depth(root, diameter); return diameter; } private: int depth(TreeNode * root, int & diameter) { if (!root) return 0; int left = depth(root - > left, diameter); int right = depth(root - > right, diameter); diameter = max(diameter, left + right); return max(left, right) + 1; } };
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