层序遍历
广度优先遍历,一层一层的遍历输出。
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode() : val(0), left(nullptr), right(nullptr) {}
* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
* };
*/
class Solution {
public:
vector<vector<int>> levelOrder(TreeNode* root) {
queue<TreeNode*> que;
if(root!=NULL) que.push(root);
vector<vector<int>> result;
while(!que.empty()){
int size = que.size();
vector<int> vec;
for (int i=0;i<size;i++){
TreeNode* node = que.front();
que.pop();
vec.push_back(node->val);
if(node->left) que.push(node->left);
if(node->right) que.push(node->right);
}
result.push_back(vec);
}
return result;
}
};
二叉树的右视图
层序遍历每一次,保留最后一个节点。
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode() : val(0), left(nullptr), right(nullptr) {}
* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
* };
*/
class Solution {
public:
vector<int> rightSideView(TreeNode* root) {
queue<TreeNode*> que;
if(root!=NULL) que.push(root);
vector<int> result;
while(!que.empty()){
int size = que.size();
TreeNode* tmp;
for (int i=0;i<size;i++){
tmp = que.front();
que.pop();
if(tmp->left) que.push(tmp->left);
if(tmp->right) que.push(tmp->right);
}
result.push_back(tmp->val);
}
return result;
}
};
N叉树遍历
注意children中是一个vector,看题解方式以后也多用auto和迭代器的写法吧。
/*
// Definition for a Node.
class Node {
public:
int val;
vector<Node*> children;
Node() {}
Node(int _val) {
val = _val;
}
Node(int _val, vector<Node*> _children) {
val = _val;
children = _children;
}
};
*/
class Solution {
public:
vector<vector<int>> levelOrder(Node* root) {
vector<vector<int>> res;
if (!root) return res;
vector<Node*> myQueue;
myQueue.push_back(root);
while (!myQueue.empty()) {
vector<int> levelVal;
vector<Node*> level;
for (auto node : myQueue) {
levelVal.push_back(node->val);
for (auto child : node->children) {
if (child) {
level.push_back(child);
}
}
}
res.push_back(levelVal);
myQueue = level;
}
return res;
}
};
填充每个节点的下一个右侧节点指针I&II
注意这题返回的应该是root节点,不要死记模版!
/*
// Definition for a Node.
class Node {
public:
int val;
Node* left;
Node* right;
Node* next;
Node() : val(0), left(NULL), right(NULL), next(NULL) {}
Node(int _val) : val(_val), left(NULL), right(NULL), next(NULL) {}
Node(int _val, Node* _left, Node* _right, Node* _next)
: val(_val), left(_left), right(_right), next(_next) {}
};
*/
class Solution {
public:
Node* connect(Node* root) {
queue<Node*> que;
if (root!=NULL) que.push(root);
while(!que.empty()){
int size=que.size();
for(int i=0;i<size;i++){
Node* cur = que.front();
que.pop();
if (cur->left) que.push(cur->left);
if (cur->right) que.push(cur->right);
if (i==size-1){
cur->next = NULL;
}
else{
cur->next = que.front();
}
}
}
return root;
}
};
二叉树的最小深度
注意三个if的关系,并不是if、else的非此即彼的关系。
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode() : val(0), left(nullptr), right(nullptr) {}
* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
* };
*/
class Solution {
public:
int minDepth(TreeNode* root) {
queue<TreeNode*> que;
if (root!=NULL) que.push(root);
else return 0;
int max_depth=10000;
int min_depth=0;
while(!que.empty()){
int size=que.size();
min_depth+=1;
int flag = 0;
for (int i=0;i<size;i++){
TreeNode* cur = que.front();
que.pop();
if(cur->left) que.push(cur->left);
if(cur->right) que.push(cur->right);
if(!cur->left && !cur->right){flag = 1; break;};
}
if(flag==1) break;
}
if (min_depth>0) return min_depth;
else return max_depth;
}
};
226、翻转二叉树(优先掌握递归)
讲解:https://programmercarl.com/0226.%E7%BF%BB%E8%BD%AC%E4%BA%8C%E5%8F%89%E6%A0%91.html
递归yyds,写起来注意前面学的前中后三种顺序逻辑,在这里中序的逻辑有点问题,具体见卡尔哥的视频讲解,亲自画一下就知道了。
再回顾一下递归三部曲:
- 确定递归函数的参数和返回值
题目中给出的要返回root节点的指针,可以直接使用题目定义好的函数,所以就函数的返回类型为TreeNode*。 - 确定终止条件
当前节点为空的时候,就返回:
if (root == NULL) return root;
- 确定单层递归的逻辑
swap(root->left, root->right);
invertTree(root->left);
invertTree(root->right);
下面是前序遍历的递归解法。
class Solution {
public:
TreeNode* invertTree(TreeNode* root) {
if (root == NULL) return root;
swap(root->left, root->right);
invertTree(root->left);
invertTree(root->right);
return root;
}
};
其余的迭代法(深度优先)、层序遍历(广度优先)见讲解。
101、对称二叉树(优先掌握递归)
讲解:https://programmercarl.com/0101.%E5%AF%B9%E7%A7%B0%E4%BA%8C%E5%8F%89%E6%A0%91.html
这里用递归法还是简单,注意处理空的情况,防止空指针情况。
class Solution {
public:
bool compare(TreeNode* left, TreeNode* right){
if(left == NULL && right!=NULL) return false;
else if(left != NULL && right==NULL) return false;
else if(left == NULL && right==NULL) return true;
else if(left->val != right->val) return false;
bool oputside = compare(left->left, right->right);
bool inside = compare(left->right, right->left);
bool isSame = oputside && inside;
return isSame;
}
bool isSymmetric(TreeNode* root) {
if (root == NULL) return true;
return compare(root->left, root->right);
}
};