Given a binary tree, to find out the minimum depth.
Minimum depth is the number of nodes in the shortest path from the root node to leaf nodes nearest .
Depth-based recursive search algorithm.
Depth of the search: First of all find out from the path of the root node to the leaf node , and then compare the minimum depth.
Recursive: need to define recursive functions .
/** * 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 minDepth(TreeNode* root) { if (root == NULL) return 0; int result = 0, left = 0, right = 0; left = minDepth(root->left); right = minDepth(root->right); if (left == 0 || right == 0) result = 1 + max(left, right); else result = 1 + min(left, right); return result; } };
Complexity analysis:
Time complexity: number of nodes is N. Each node visited once, O (n).
Space complexity: the worst case, N nodes constitute unbalanced tree, each node has only one child, this time a recursive call N times (height of the tree), then stack space overhead is O (n) the most. Ideally, N nodes constituting a perfectly balanced tree, the tree is logN height, stack space overhead is O (logN).