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@ -1,6 +1,6 @@
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# 算法面试思维导图:
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# 算法面试思维导图:
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# 算法文章精选:
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# 算法文章精选:
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@ -39,7 +39,10 @@
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|[0059.螺旋矩阵II](https://github.com/youngyangyang04/leetcode/blob/master/problems/0059.螺旋矩阵II.md) |数组 |中等|**模拟**|
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|[0059.螺旋矩阵II](https://github.com/youngyangyang04/leetcode/blob/master/problems/0059.螺旋矩阵II.md) |数组 |中等|**模拟**|
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|[0083.删除排序链表中的重复元素](https://github.com/youngyangyang04/leetcode/blob/master/problems/0083.删除排序链表中的重复元素.md) |链表 |简单|**模拟**|
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|[0083.删除排序链表中的重复元素](https://github.com/youngyangyang04/leetcode/blob/master/problems/0083.删除排序链表中的重复元素.md) |链表 |简单|**模拟**|
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|[0094.二叉树的中序遍历](https://github.com/youngyangyang04/leetcode/blob/master/problems/0094.二叉树的中序遍历.md) |树 |中等|**递归** **迭代/栈**|
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|[0094.二叉树的中序遍历](https://github.com/youngyangyang04/leetcode/blob/master/problems/0094.二叉树的中序遍历.md) |树 |中等|**递归** **迭代/栈**|
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|[0101.对称二叉树](https://github.com/youngyangyang04/leetcode/blob/master/problems/0101.对称二叉树.md) |树 |简单|**递归** **迭代/栈**|
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|[0100.相同的树](https://github.com/youngyangyang04/leetcode/blob/master/problems/0100.相同的树.md) |树 |简单|**递归** |
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|[0101.对称二叉树](https://github.com/youngyangyang04/leetcode/blob/master/problems/0101.对称二叉树.md) |树 |简单|**递归** **迭代/队列/栈**|
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|[0104.二叉树的最大深度](https://github.com/youngyangyang04/leetcode/blob/master/problems/0104.二叉树的最大深度.md) |树 |简单|**递归** **队列/BFS**|
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|[0110.平衡二叉树](https://github.com/youngyangyang04/leetcode/blob/master/problems/0110.平衡二叉树.md) |树 |简单|**递归**|
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|[0142.环形链表II](https://github.com/youngyangyang04/leetcode/blob/master/problems/0142.环形链表II.md) |链表 |中等|**快慢指针/双指针**|
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|[0142.环形链表II](https://github.com/youngyangyang04/leetcode/blob/master/problems/0142.环形链表II.md) |链表 |中等|**快慢指针/双指针**|
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|[0144.二叉树的前序遍历](https://github.com/youngyangyang04/leetcode/blob/master/problems/0144.二叉树的前序遍历.md) |树 |中等|**递归** **迭代/栈**|
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|[0144.二叉树的前序遍历](https://github.com/youngyangyang04/leetcode/blob/master/problems/0144.二叉树的前序遍历.md) |树 |中等|**递归** **迭代/栈**|
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|[0145.二叉树的后序遍历](https://github.com/youngyangyang04/leetcode/blob/master/problems/0145.二叉树的后序遍历.md) |树 |困难|**递归** **迭代/栈**|
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|[0145.二叉树的后序遍历](https://github.com/youngyangyang04/leetcode/blob/master/problems/0145.二叉树的后序遍历.md) |树 |困难|**递归** **迭代/栈**|
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26
problems/0100.相同的树.md
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26
problems/0100.相同的树.md
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## 题目地址
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https://leetcode-cn.com/problems/same-tree/
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## 思路
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这道题目和101 基本是一样的
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## C++代码
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```
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class Solution {
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public:
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bool compare(TreeNode* left, TreeNode* right) {
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if (left == NULL && right != NULL) return false;
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else if (left != NULL && right == NULL) return false;
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else if (left == NULL && right == NULL) return true;
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else if (left->val != right->val) return false;
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else return compare(left->left, right->left) && compare(left->right, right->right);
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}
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bool isSameTree(TreeNode* p, TreeNode* q) {
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return compare(p, q);
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}
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};
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```
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> 更多算法干货文章持续更新,可以微信搜索「代码随想录」第一时间围观,关注后,回复「Java」「C++」 「python」「简历模板」「数据结构与算法」等等,就可以获得我多年整理的学习资料。
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@ -3,6 +3,7 @@ https://leetcode-cn.com/problems/symmetric-tree/
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## 思路
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## 思路
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这是考察二叉树基本操作的经典题目,递归的方式相对好理解一些,迭代的方法 我看大家清一色使用队列,其实使用栈也是可以的,只不过遍历的顺序不同而已,关键是要理解只要是对称比较就可以了,遍历的顺序无所谓的。
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## C++代码
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## C++代码
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### 迭代
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### 迭代
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使用队列
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```
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class Solution {
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public:
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bool isSymmetric(TreeNode* root) {
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if (root == NULL) return true;
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queue<TreeNode*> que;
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que.push(root->left);
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que.push(root->right);
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while (!que.empty()) {
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TreeNode* leftNode = que.front(); que.pop();
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TreeNode* rightNode = que.front(); que.pop();
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if (!leftNode && !rightNode) {
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continue;
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}
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if ((!leftNode || !rightNode || (leftNode->val != rightNode->val))) {
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return false;
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}
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que.push(leftNode->left);
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que.push(rightNode->right);
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que.push(leftNode->right);
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que.push(rightNode->left);
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}
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return true;
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}
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};
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```
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使用栈
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```
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class Solution {
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public:
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bool isSymmetric(TreeNode* root) {
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if (root == NULL) return true;
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stack<TreeNode*> st;
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st.push(root->left);
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st.push(root->right);
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while (!st.empty()) {
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TreeNode* leftNode = st.top(); st.pop();
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TreeNode* rightNode = st.top(); st.pop();
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if (!leftNode && !rightNode) {
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continue;
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}
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if ((!leftNode || !rightNode || (leftNode->val != rightNode->val))) {
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return false;
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}
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st.push(leftNode->left);
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st.push(rightNode->right);
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st.push(leftNode->right);
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st.push(rightNode->left);
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}
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return true;
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}
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};
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```
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> 更多算法干货文章持续更新,可以微信搜索「代码随想录」第一时间围观,关注后,回复「Java」「C++」 「python」「简历模板」「数据结构与算法」等等,就可以获得我多年整理的学习资料。
|
> 更多算法干货文章持续更新,可以微信搜索「代码随想录」第一时间围观,关注后,回复「Java」「C++」 「python」「简历模板」「数据结构与算法」等等,就可以获得我多年整理的学习资料。
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49
problems/0104.二叉树的最大深度.md
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49
problems/0104.二叉树的最大深度.md
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## 题目地址
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https://leetcode-cn.com/problems/maximum-depth-of-binary-tree/
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## 思路
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## C++代码
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### 递归
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```
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class Solution {
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public:
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int getDepth(TreeNode* node) {
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if (node == NULL) return 0;
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return 1 + max(getDepth(node->left), getDepth(node->right));
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}
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int maxDepth(TreeNode* root) {
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return getDepth(root);
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}
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};
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```
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### BFS
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```
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class Solution {
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public:
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int maxDepth(TreeNode* root) {
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if (root == NULL) return 0;
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int depth = 0;
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queue<TreeNode*> que;
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que.push(root);
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while(!que.empty()) {
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int size = que.size(); // 必须要这么写,要固定size大小
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depth++;
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for (int i = 0; i < size; i++) {
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TreeNode* node = que.front();
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que.pop();
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if (node->left) que.push(node->left);
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if (node->right) que.push(node->right);
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}
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}
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return depth;
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}
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};
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```
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> 更多算法干货文章持续更新,可以微信搜索「代码随想录」第一时间围观,关注后,回复「Java」「C++」 「python」「简历模板」「数据结构与算法」等等,就可以获得我多年整理的学习资料。
|
36
problems/0110.平衡二叉树.md
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36
problems/0110.平衡二叉树.md
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## 题目地址
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https://leetcode-cn.com/problems/balanced-binary-tree/
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## 思路
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## C++代码
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```
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class Solution {
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public:
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// 一开始的想法是 遍历这棵树,然后针对每个节点判断其左右子树的深度
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// 求node为头节点二叉树的深度,并且比较起左右节点的高度差
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// 平衡树的条件: 左子树是平衡树,右子树是平衡树,左右子树高度相差不超过1。
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// 递归三部曲
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// 1. 明确终止条件:如果node为null
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// 2. 明确返回信息: 判断左子树,判断右子树
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// 3. 一次递归要处理的逻辑
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int depth(TreeNode* node) {
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if (node == NULL) {
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return 0;
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}
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int left = depth(node->left);
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if (left == -1) return -1;
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int right = depth(node->right);
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if (right == -1) return -1;
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return abs(left - right) > 1 ? -1 : 1 + max(left, right);
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}
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bool isBalanced(TreeNode* root) {
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return depth(root) == -1 ? false : true;
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}
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};
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```
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> 更多算法干货文章持续更新,可以微信搜索「代码随想录」第一时间围观,关注后,回复「Java」「C++」 「python」「简历模板」「数据结构与算法」等等,就可以获得我多年整理的学习资料。
|
63
problems/0111.二叉树的最小深度.md
Normal file
63
problems/0111.二叉树的最小深度.md
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@ -0,0 +1,63 @@
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## 题目地址
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https://leetcode-cn.com/problems/minimum-depth-of-binary-tree/
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## 思路
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## C++代码
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### 递归
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```
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class Solution {
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public:
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int process(TreeNode* node) {
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if (node == NULL) return 0;
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if (node->left == NULL && node->right != NULL) { // 当一个左右其中一个孩子为空的时候并不是最低点
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return 1 + process(node->right);
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}
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if (node->left != NULL && node->right == NULL) { // 当一个左右其中一个孩子为空的时候并不是最低点
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return 1 + process(node->left);
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}
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return 1 + min(process(node->left), process(node->right));
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}
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int minDepth(TreeNode* root) {
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return process(root);
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}
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};
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```
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### BFS
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```
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class Solution {
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public:
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int minDepth(TreeNode* root) {
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if (root == NULL) return 0;
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int depth = 0;
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queue<TreeNode*> que;
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que.push(root);
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while(!que.empty()) {
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int size = que.size(); // 必须要这么写,要固定size大小
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depth++;
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int flag = 0;
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for (int i = 0; i < size; i++) {
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TreeNode* node = que.front();
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que.pop();
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if (node->left) que.push(node->left);
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if (node->right) que.push(node->right);
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if (!node->left && !node->right) { // 当左右孩子都为空的时候,说明是最低点的一层了,退出
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flag = 1;
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break;
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}
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}
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if (flag == 1) break;
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}
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return depth;
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}
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};
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```
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|
||||||
|
> 更多算法干货文章持续更新,可以微信搜索「代码随想录」第一时间围观,关注后,回复「Java」「C++」 「python」「简历模板」「数据结构与算法」等等,就可以获得我多年整理的学习资料。
|
Reference in New Issue
Block a user