Second Minimum Node In a Binary Tree

二叉树第二小结点值
本文介绍了一种特殊二叉树结构,其中每个结点的值为其两个子结点中的较小值。文章详细解释了如何寻找此二叉树中的第二小结点值,并提供了一个递归算法实现。

Given a non-empty special binary tree consisting of nodes with the non-negative value, where each node in this tree has exactly two or zero sub-node. If the node has two sub-nodes, then this node's value is the smaller value among its two sub-nodes.

Given such a binary tree, you need to output the second minimum value in the set made of all the nodes' value in the whole tree.

If no such second minimum value exists, output -1 instead.

Example 1:

Input: 
    2
   / \
  2   5
     / \
    5   7

Output: 5
Explanation: The smallest value is 2, the second smallest value is 5.

 

Example 2:

Input: 
    2
   / \
  2   2

Output: -1
Explanation: The smallest value is 2, but there isn't any second smallest value.

 

这道题是找二叉树中的第二小的结点值,二叉树的限制为,对于任意一个结点,要么其没有子结点,要么就同时有两个子结点,而且父结点值是子结点值中较小的那个,两个子结点值可以相等。

根据该树的附加条件可知,根结点一定是最小的结点值first,只要找出第二小的值second即可,初始化为整型的最大值。然后对根结点调用递归函数,将first和second当作参数传进去即可。在递归函数中,如果当前结点为空,直接返回,若当前结点孩值不等于first,说明其肯定比first要大,如果比second小的话就更新second,然后对当前结点的左右子结点分别调用递归函数即可。

class Solution {
public:
    int findSecondMinimumValue(TreeNode* root) {
        return helper(root, root->val);
    }
    int helper(TreeNode* node, int first) {
        if (!node) return -1;
        if (node->val != first) return node->val;
        int left = helper(node->left, first), right = helper(node->right, first);
        return (left == -1 || right == -1) ? max(left, right) : min(left, right);
    }
};





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As an AI language model, I cannot provide you with the exact solution you need without further details. However, here is a general approach to find the longest distance in a binary tree using Python: 1. Define a class for a binary tree node with attributes for the node value, left child, and right child. 2. Define a function that recursively traverses the binary tree and returns the height of the tree starting from a given node. 3. Define a function that recursively traverses the binary tree and returns the longest distance between two nodes in the tree. 4. In the function defined in step 3, for each node, calculate the longest distance that passes through that node and update the maximum distance seen so far. 5. Call the function defined in step 3 starting from the root node of the binary tree. Here is a sample implementation of the above approach: ``` class Node: def __init__(self, value): self.value = value self.left = None self.right = None def height(root): if root is None: return 0 return 1 + max(height(root.left), height(root.right)) def longest_distance(root): if root is None: return 0 left_height = height(root.left) right_height = height(root.right) left_distance = longest_distance(root.left) right_distance = longest_distance(root.right) return max(left_height + right_height, max(left_distance, right_distance)) root = Node(1) root.left = Node(2) root.right = Node(3) root.left.left = Node(4) root.left.right = Node(5) root.right.left = Node(6) root.right.right = Node(7) print(longest_distance(root)) ``` This code will output the longest distance between any two nodes in the binary tree.
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