N1-1 - 树 - Minimum Depth of Binary Tree
题目描述:
Given a binary tree, find its minimum depth.The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.
特殊输入:
只有两个节点时,树的深度是2。但是如果只考虑左子树或右子树为空。结果会返回1.
两个错误的代码:(不应该以子树空判断结束)
实现1:该代码是错误的
class Solution {
public:
int run(TreeNode *root) {
if(root==nullptr)
return 0; queue<TreeNode *> currQueue;
currQueue.push(root);
int count = 0;
while(!currQueue.empty()){
count++;
for(int i=0;i<currQueue.size();i++){ //遍历一层
TreeNode * pNode = currQueue.front();
currQueue.pop();
if(pNode->left)
currQueue.push(pNode->left);
else
return count;
if(pNode->right)
currQueue.push(pNode->right);
else
return count; }
}
return count;
}
}
//实现2: 该代码是错误的
int getMinDepth(TreeNode *root){
if(root==nullptr)
return 0;
return min(getMinDepth(root->left),getMinDepth(root->right))+1;
}
解题思路:
1)一直访问到叶子节点,层次遍历遇到的最早的叶子节点,当前层就是树的最小深度。(使用队列,非递归)
1
/ \
2 3
/
4
错误的方法是:当子树为空,返回当前层(上面的例子可以)
但是下面的例子会返回1。
1
/
2
class Solution {
public:
int run(TreeNode *root) {
if(root==nullptr)
return 0; queue<TreeNode *> currQueue;
currQueue.push(root);
int count = 0;
while(!currQueue.empty()){
count++;
int size = currQueue.size();
for(int i=0;i<size;i++){ //遍历一层
TreeNode * pNode = currQueue.front();
currQueue.pop();
if(pNode->left==nullptr && pNode->right==nullptr) //遇到的第一个叶子节点,返回当前层
return count;
if(pNode->left)
currQueue.push(pNode->left);
if(pNode->right)
currQueue.push(pNode->right);
}
}
return count;
} };
2)思路:递归
//实现1
class Solution {
public:
int run(TreeNode *root)
{
if(root == nullptr) return 0;
if(root->left == nullptr) // 若左子树为空,则返回右子树的最小深度+1
{
return run(root->right)+1;
}
if(root->right == nullptr) // 若右子树为空,则返回左子树的最小深度+1
{
return run(root->left)+1;
}
// 左右子树都不为空时,取较小值
int leftDepth = run(root->left);
int rightDepth = run(root->right);
return (leftDepth<rightDepth)?(leftDepth+1):(rightDepth+1);
}
};
//实现2
class Solution {
public:
int run(TreeNode *root) {
if(!root)
return 0;
int l = run(root->left);
int r = run(root->right);
if(l==0 || r==0)
return 1+l+r;
return 1+min(l,r);
}
};
3)深度遍历要遍历所有节点,因此选广度优先遍历更好。不再给出深度遍历的代码
总结:
二叉树操作主要还是利用尾递归或者循环遍历这两种思路,进而涉及DFS(主要利用递归或者栈实现)或者BFS(主要利用队列实现)。
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