代码随想录笔记--二叉树篇

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目录

1--递归遍历

1-1--前序遍历

1-2--中序遍历

1-3--后序遍历

2--迭代遍历

2-1--前序遍历

2-2--后序遍历

2-3--中序遍历

3--二叉树的层序遍历

4--翻转二叉树

5--对称二叉树

6--二叉树最大深度

7--二叉树的最小深度

8--完全二叉树节点的数量

9--平衡二叉树

10--二叉树的所有路径

11--左叶子之和

12--找树左下角的值

13--路径总和

14--从中序与后序遍历序列构造二叉树

15--最大二叉树

16--合并二叉树

17--二叉搜索树中的搜索

18--验证二叉搜索树

19--二叉搜索树的最小绝对差

20--二叉搜索树中的众数

21--二叉树的最近公共祖先

22--二叉搜索树的最近公共祖先

23--二叉搜索树中的插入操作

24--删除二叉搜索树中的节点

25--修建二叉搜索树

26--将有序数组转换为二叉搜索树

27--把二叉搜索树转换为累加树


1--递归遍历

1-1--前序遍历

代码随想录笔记--二叉树篇,数据结构&LeetCode,数据结构

前序遍历:根→左→右;

#include <iostream>
#include <vector>

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:
    std::vector<int> preorderTraversal(TreeNode* root) {
        std::vector<int> res;
        dfs(root, res);
        return res;
    }

    void dfs(TreeNode* root, std::vector<int>& res){
        if(root == nullptr) return;
        res.push_back(root->val);
        dfs(root->left, res);
        dfs(root->right, res);
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.preorderTraversal(Node1);
    for(auto item : res) std::cout << item << " ";
    std::cout << std::endl;
    return 0;
}

1-2--中序遍历

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

中序遍历:左→根→右;

#include <iostream>
#include <vector>

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:
    std::vector<int> inorderTraversal(TreeNode* root) {
        std::vector<int> res;
        dfs(root, res);
        return res;
    }

    void dfs(TreeNode* root, std::vector<int>& res){
        if(root == nullptr) return;
        dfs(root->left, res);
        res.push_back(root->val);
        dfs(root->right, res);
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.inorderTraversal(Node1);
    for(auto item : res) std::cout << item << " ";
    std::cout << std::endl;
    return 0;
}

1-3--后序遍历

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

后序遍历:左→右→根;

#include <iostream>
#include <vector>

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:
    std::vector<int> postorderTraversal(TreeNode* root) {
        std::vector<int> res;
        dfs(root, res);
        return res;
    }

    void dfs(TreeNode* root, std::vector<int>& res){
        if(root == nullptr) return;
        dfs(root->left, res);
        dfs(root->right, res);
        res.push_back(root->val);
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.postorderTraversal(Node1);
    for(auto item : res) std::cout << item << " ";
    std::cout << std::endl;
    return 0;
}

2--迭代遍历

2-1--前序遍历

        基于栈结构,先将根节点入栈,再将节点从栈中弹出,如果节点的右孩子不为空,则右孩子入栈;如果节点的左孩子不为空,则左孩子入栈;

        循环出栈处理节点,并将右孩子和左孩子存在栈中(右孩子先进栈,左孩子再进栈,因为栈先进后出,这样可以确保左孩子先出栈,符合根→左→右的顺序);

#include <iostream>
#include <vector>
#include <stack>

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:
    std::vector<int> preorderTraversal(TreeNode* root) {
        std::vector<int> res;
        if(root == nullptr) return res;
        std::stack<TreeNode*> stk;
        stk.push(root);
        while(!stk.empty()){
            TreeNode *tmp = stk.top();
            stk.pop();
            res.push_back(tmp->val);
            if(tmp->right != nullptr) stk.push(tmp->right); // 右
            if(tmp->left != nullptr) stk.push(tmp->left); // 左
        }
        return res;
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.preorderTraversal(Node1);
    for(auto item : res) std::cout << item << " ";
    std::cout << std::endl;
    return 0;
}

2-2--后序遍历

        可以使用两个栈来实现,一个是遍历栈,一个是收集栈,参考之前的笔记:后序遍历的迭代实现        

        也可以类似于前序遍历,基于一个栈实现,只不过需要改变入栈顺序:每出栈处理一个节点,其左孩子入栈,再右孩子入栈;此时处理顺序为:根->右->左,最后将结果 reverse 即可;

#include <iostream>
#include <vector>
#include <stack>
#include <algorithm>

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:
    std::vector<int> postorderTraversal(TreeNode* root) {
        std::vector<int> res;
        if(root == nullptr) return res;
        std::stack<TreeNode*> stk;
        stk.push(root);
        while(!stk.empty()){
            TreeNode* tmp = stk.top();
            stk.pop();
            if(tmp->left != nullptr) stk.push(tmp->left);
            if(tmp->right != nullptr) stk.push(tmp->right);
            res.push_back(tmp->val);
        }
        // 反转
        std::reverse(res.begin(), res.end());
        return res;
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.postorderTraversal(Node1);
    for(auto item : res) std::cout << item << " ";
    std::cout << std::endl;
    return 0;
}

2-3--中序遍历

基于栈结构,初始化一个栈,根节点入栈;

        ①:左子结点全部入栈;

        ②:结点出栈,处理结点;

        ③:对出栈结点的右子树重复执行第 ① 步操作;

#include <iostream>
#include <vector>
#include <stack>
#include <algorithm>

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:
    std::vector<int> inorderTraversal(TreeNode* root) {
        std::vector<int> res;
        if(root == nullptr) return res;
        std::stack<TreeNode*> stk;
        while(!stk.empty() || root != nullptr){
            if(root != nullptr){ // 左子结点全部入栈
                stk.push(root);
                root = root->left;
            }
            else{
                TreeNode *tmp = stk.top();
                stk.pop();
                res.push_back(tmp->val);
                // 出栈节点的右孩子执行相同操作
                root = tmp->right;
            }    
        }
        return res;
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.inorderTraversal(Node1);
    for(auto item : res) std::cout << item << " ";
    std::cout << std::endl;
    return 0;
}

3--二叉树的层序遍历

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        经典广度优先搜索,基于队列;

        对于本题需要将同一层的节点放在一个数组中,因此遍历的时候需要用一个变量 nums 来记录当前层的节点数,即 nums 等于队列元素的数目;

#include <iostream>
#include <vector>
#include <queue>

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:
    std::vector<std::vector<int>> levelOrder(TreeNode* root) {
        std::vector<std::vector<int>> res;
        if(root == nullptr) return res;
        std::queue<TreeNode*> q;
        q.push(root);
        while(!q.empty()){
            int nums = q.size(); // 当前层的节点数
            std::vector<int> tmp;
            while(nums > 0){ // 遍历处理同一层
                TreeNode *cur = q.front();
                q.pop();
                tmp.push_back(cur->val);

                if(cur->left != nullptr) q.push(cur->left);
                if(cur->right != nullptr) q.push(cur->right);
                
                nums--;
            }
            res.push_back(tmp); // 记录当前层的元素
        }
        return res;
    }
};

int main(int argc, char* argv[]){
    // root = [1, null, 2, 3]
    TreeNode *Node1 = new TreeNode(3);
    TreeNode *Node2 = new TreeNode(9);
    TreeNode *Node3 = new TreeNode(20);
    TreeNode *Node4 = new TreeNode(15);
    TreeNode *Node5 = new TreeNode(7);
    Node1->left = Node2;
    Node1->right = Node3;
    Node3->left = Node4;
    Node3->right = Node5;

    Solution S1;
    std::vector<std::vector<int>> res = S1.levelOrder(Node1);
    for(auto item : res) {
        for (int v : item) std::cout << v << " ";
        std::cout << std::endl;
    }
    return 0;
}

4--翻转二叉树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归交换左右子树;

#include <iostream>
#include <vector>
#include <queue>

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:
    TreeNode* invertTree(TreeNode* root) {
        reverse(root);
        return root;
    }
    void reverse(TreeNode *root){
        if(root == nullptr) return;
        reverse(root->left);
        reverse(root->right);
        TreeNode *tmp = root->left;
        root->left = root->right;
        root->right = tmp;
    }
};

// 层次遍历打印
void PrintTree(TreeNode *root){
    std::queue<TreeNode*> q;
    q.push(root);
    while(!q.empty()) {
        TreeNode *tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr) q.push(tmp->left);
        if(tmp->right != nullptr) q.push(tmp->right);
    }
}

int main(int argc, char* argv[]){
    // root = [4,2,7,1,3,6,9]
    TreeNode *Node1 = new TreeNode(4);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(7);
    TreeNode *Node4 = new TreeNode(1);
    TreeNode *Node5 = new TreeNode(3);
    TreeNode *Node6 = new TreeNode(6);
    TreeNode *Node7 = new TreeNode(9);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->left = Node6;
    Node3->right = Node7;

    Solution S1;
    TreeNode *res = S1.invertTree(Node1);
    PrintTree(res);
}

5--对称二叉树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归判断左树的左子树是否与右数的右子树相等,左树的右子树是否与右树的左子树相等;

#include <iostream>
#include <vector>
#include <queue>

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:
    bool isSymmetric(TreeNode* root) {
        if(root == nullptr) return true;
        bool res = dfs(root->left, root->right);
        return res;
    }
    bool dfs(TreeNode *left, TreeNode *right){
        if((left != nullptr && right == nullptr) ||
        (left == nullptr && right != nullptr)) return false;

        if(left == nullptr && right == nullptr) return true;
        if (left->val != right->val) return false;

        bool isSame1 = dfs(left->left, right->right);
        bool isSame2 = dfs(left->right, right->left);
        return isSame1 && isSame2;
    }
};

int main(int argc, char* argv[]){
    // root = [4,2,7,1,3,6,9]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(2);
    TreeNode *Node4 = new TreeNode(3);
    TreeNode *Node5 = new TreeNode(4);
    TreeNode *Node6 = new TreeNode(4);
    TreeNode *Node7 = new TreeNode(3);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->left = Node6;
    Node3->right = Node7;

    Solution S1;
    bool res = S1.isSymmetric(Node1);
    if(res) std::cout << "true" << std::endl;
    else std::cout << "false" << std::endl;
}

6--二叉树最大深度

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归计算左右子树的深度,选取两者最大值 +1 返回;

#include <iostream>
#include <vector>
#include <queue>

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 maxDepth(TreeNode* root) {
        if(root == nullptr) return 0;
        int res = dfs(root);
        return res;
    }

    int dfs(TreeNode* root){
        if(root == nullptr) return 0;
        int left_height = dfs(root->left);
        int right_height = dfs(root->right);
        int cur_height = std::max(left_height, right_height) + 1;
        return cur_height;
    }
};

int main(int argc, char* argv[]){
    // root = [3,9,20,null,null,15,7]
    TreeNode *Node1 = new TreeNode(3);
    TreeNode *Node2 = new TreeNode(9);
    TreeNode *Node3 = new TreeNode(20);
    TreeNode *Node4 = new TreeNode(15);
    TreeNode *Node5 = new TreeNode(7);

    Node1->left = Node2;
    Node1->right = Node3;
    Node3->left = Node4;
    Node3->right = Node5;

    Solution S1;
    int res = S1.maxDepth(Node1);
    std::cout << res << std::endl;
    return 0;
}

7--二叉树的最小深度

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        与上题有点类似,递归返回最小深度即可,但需要剔除根节点一个子树为空的情况;

        对于一个根节点,其中一个子树为空,则其最小深度是不为空的子树的深度;

#include <iostream>
#include <vector>
#include <queue>

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) {
        if(root == nullptr) return 0;
        return dfs(root);
    }

    int dfs(TreeNode *root){
        if(root == nullptr) return 0;
        // 剔除两种情况
        if(root->left == nullptr) return dfs(root->right) + 1;
        else if(root->right == nullptr) return dfs(root->left) + 1;
        else{
            int left_height = dfs(root->left);
            int right_height = dfs(root->right);
            int cur_min_height = std::min(left_height, right_height) + 1;
            return cur_min_height;
        }
    }
};

int main(int argc, char* argv[]){
    // root = [3,9,20,null,null,15,7]
    TreeNode *Node1 = new TreeNode(3);
    TreeNode *Node2 = new TreeNode(9);
    TreeNode *Node3 = new TreeNode(20);
    TreeNode *Node4 = new TreeNode(15);
    TreeNode *Node5 = new TreeNode(7);

    Node1->left = Node2;
    Node1->right = Node3;
    Node3->left = Node4;
    Node3->right = Node5;

    Solution S1;
    int res = S1.minDepth(Node1);
    std::cout << res << std::endl;
    return 0;
}

8--完全二叉树节点的数量

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        普通二叉树可以通过层次遍历来统计节点数目;

        对于本题中的完全二叉树,可以通过 2**k - 1 的公式来计算二叉树节点的数目;

        首先需判断一个子树是否为完全二叉树,如果是则通过上式计算;如果不是完全二叉树,则对于当前子树,需要分别向左右子树递归计算其节点数目(相当于获取信息),最后将结果相加(相当于处理信息),并加上1返回即可;

#include <iostream>
#include <vector>
#include <queue>

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 countNodes(TreeNode* root) {
        if(root == nullptr) return 0;
        return dfs(root);
    }
    int dfs(TreeNode *root){
        if(root == nullptr) return 0;
        TreeNode *left = root->left, *right = root->right;
        int left_height = 0, right_height = 0;
        while(left != nullptr){
            left = left->left;
            left_height++;
        }
        while(right != nullptr){
            right = right->right;
            right_height++;
        }
        if(left_height == right_height) return (2<<left_height) - 1; // 满二叉树
        int left_nums = dfs(root->left);
        int right_nums = dfs(root->right);
        return left_nums + right_nums + 1;
    }
};

int main(int argc, char* argv[]){
    // root = [1,2,3,4,5,6]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    TreeNode *Node4 = new TreeNode(4);
    TreeNode *Node5 = new TreeNode(5);
    TreeNode *Node6 = new TreeNode(6);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->left = Node6;

    Solution S1;
    int res = S1.countNodes(Node1);
    std::cout << res << std::endl;
    return 0;
}

9--平衡二叉树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        通过高度差不大于1,来递归判断子树是否是平衡二叉树,不是则返回-1,是则返回对应的高度;

#include <iostream>
#include <vector>

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:
    bool isBalanced(TreeNode* root) {
        if(root == nullptr) return true;
        int height = dfs(root);
        return height == -1 ? false : true;
    }

    int dfs(TreeNode *root){
        if(root == nullptr) return 0;
        int left_height = dfs(root->left);
        if(left_height == -1) return -1;
        int right_height = dfs(root->right);
        if(right_height == -1) return -1;
        if(std::abs(left_height - right_height) > 1) return -1;
        else return std::max(left_height, right_height) + 1;
    }
};

int main(int argc, char* argv[]){
    // root = [3,9,20,null,null,15,7]
    TreeNode *Node1 = new TreeNode(3);
    TreeNode *Node2 = new TreeNode(9);
    TreeNode *Node3 = new TreeNode(20);
    TreeNode *Node4 = new TreeNode(15);
    TreeNode *Node5 = new TreeNode(7);

    Node1->left = Node2;
    Node1->right = Node3;
    Node3->left = Node4;
    Node3->right = Node5;

    Solution S1;
    bool res = S1.isBalanced(Node1);
    if(res) std::cout << "true" << std::endl;
    else std::cout << "false" << std::endl;
    return 0;
}

10--二叉树的所有路径

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归记录路径;

#include <iostream>
#include <vector>
#include <string>

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:
    std::vector<std::string> binaryTreePaths(TreeNode* root) {
        std::vector<std::string> res;
        if(root == nullptr) return res;
        std::string path = "";
        dfs(root, res, path);
        return res;
    }

    void dfs(TreeNode *root, std::vector<std::string>& res, std::string path){
        if(root == nullptr) return;

        path += std::to_string(root->val);
        if(root->left == nullptr && root->right == nullptr) { // 叶子节点,回收路径
            res.push_back(path);
            return;
        }
        else path += "->";
        dfs(root->left, res, path);
        dfs(root->right, res, path);
    }
};

int main(int argc, char* argv[]){
    // root = [1,2,3,null,5]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(3);
    TreeNode *Node4 = new TreeNode(5);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->right = Node4;

    Solution S1;
    std::vector<std::string> res = S1.binaryTreePaths(Node1);
    for(auto path : res) std::cout << path << std::endl;
    return 0;
}

11--左叶子之和

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归到叶子节点的上一层,返回其左叶子之和;

#include <iostream>
#include <vector>
#include <string>

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 sumOfLeftLeaves(TreeNode* root) {
        if(root == nullptr) return 0;
        return dfs(root);
    }
    int dfs(TreeNode* root){
        if(root == nullptr) return 0;
        if(root->left == nullptr && root->right == nullptr) return 0;
        int sum = 0;
        if(root->left != nullptr && root->left->left == nullptr && root->left->right == nullptr){
            sum = root->left->val;
        }
        int left = dfs(root->left);
        int right = dfs(root->right);
        return left + right + sum;
    }
};

int main(int argc, char* argv[]){
    // root = [3,9,20,null,null,15,7]
    TreeNode *Node1 = new TreeNode(3);
    TreeNode *Node2 = new TreeNode(9);
    TreeNode *Node3 = new TreeNode(20);
    TreeNode *Node4 = new TreeNode(15);
    TreeNode *Node5 = new TreeNode(7);

    Node1->left = Node2;
    Node1->right = Node3;
    Node3->left = Node4;
    Node3->right = Node5;

    Solution S1;
    int res = S1.sumOfLeftLeaves(Node1);
    std::cout << res << std::endl;
    return 0;
}

12--找树左下角的值

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归到最大深度层,优先返回最左边的节点值,即递归时优先搜索左子树;

#include <iostream>
#include <vector>
#include <limits.h>

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 findBottomLeftValue(TreeNode* root) {
        if(root == nullptr) return 0;
        int max_height = INT_MIN;
        int result = 0;
        dfs(root, 0, max_height, result);
        return result;
    }

    void dfs(TreeNode* root, int curheight, int& max_height, int& res){
        if(root == nullptr) return;
        if(root->left == nullptr && root->right == nullptr){ // 叶子节点
            if(curheight + 1 > max_height){
                max_height = curheight + 1;
                res = root->val;
                return;
            }
        }
        dfs(root->left, curheight+1, max_height, res);
        dfs(root->right, curheight+1, max_height, res);  
    }
};

int main(int argc, char* argv[]){
    // root = [3,9,20,null,null,15,7]
    TreeNode *Node1 = new TreeNode(2);
    TreeNode *Node2 = new TreeNode(1);
    TreeNode *Node3 = new TreeNode(3);

    Node1->left = Node2;
    Node1->right = Node3;

    Solution S1;
    int res = S1.findBottomLeftValue(Node1);
    std::cout << res << std::endl;
    return 0;
}

13--路径总和

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归搜索,判断路径和是否等于目标值即可;

#include <iostream>
#include <vector>
#include <limits.h>

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:
    bool hasPathSum(TreeNode* root, int targetSum) {
        if(root == nullptr) return false;
        return dfs(root, targetSum);
    }

    bool dfs(TreeNode* root, int targetSum){
        if(root == nullptr) return false;
        if(root->left == nullptr && root->right == nullptr && targetSum == root->val){
            return true;
        }
        bool left = dfs(root->left, targetSum - root->val);
        if(left) return true;
        bool right = dfs(root->right, targetSum - root->val);
        if(right) return true;

        return false;
    }
};

int main(int argc, char* argv[]){
    // root = [5,4,8,11,null,13,4,7,2,null,null,null,1], targetSum = 22
    TreeNode *Node1 = new TreeNode(5);
    TreeNode *Node2 = new TreeNode(4);
    TreeNode *Node3 = new TreeNode(8);
    TreeNode *Node4 = new TreeNode(11);
    TreeNode *Node5 = new TreeNode(13);
    TreeNode *Node6 = new TreeNode(4);
    TreeNode *Node7 = new TreeNode(7);
    TreeNode *Node8 = new TreeNode(2);
    TreeNode *Node9 = new TreeNode(1);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node3->left = Node5;
    Node3->right = Node6;
    Node4->left = Node7;
    Node4->right = Node8;
    Node6->right = Node9;

    int target = 22;

    Solution S1;
    bool res = S1.hasPathSum(Node1, target);
    if(res) std::cout << "True" << std::endl;
    else std::cout << "false" << std::endl;
    return 0;
}

14--从中序与后序遍历序列构造二叉树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        中序遍历的顺序为:左→根→右,后序遍历的顺序为:左→右→根;即后序遍历的最后一个节点是根节点,因此可以根据根节点来划分中序遍历,将其划分为左子树和右子树,再根据左右子树的大小来划分后序遍历,递归构建二叉树;

#include <iostream>
#include <vector>
#include <queue>

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:
    TreeNode* buildTree(std::vector<int>& inorder, std::vector<int>& postorder) {
        TreeNode *root = dfs(inorder, postorder);
        return root;
    }

    TreeNode* dfs(std::vector<int>& inorder, std::vector<int>& postorder){
        if(postorder.size() == 0) return nullptr;
        TreeNode *root = new TreeNode(postorder[postorder.size() - 1]); // 根节点
        if(postorder.size() == 1) return root;

        // 划分中序遍历
        int idx;
        for(idx = 0; idx < inorder.size(); idx++){
            if(inorder[idx] == root->val) break; // 找到中序遍历的根节点
        }
        // 划分后序遍历
        std::vector<int> left_inorder(inorder.begin(), inorder.begin()+idx); // 左子树的中序
        std::vector<int> right_inorder(inorder.begin()+idx+1, inorder.end()); // 右子树的中序
        std::vector<int> left_postorder(postorder.begin(), postorder.begin() + left_inorder.size()); // 左子树的后序
        std::vector<int> right_postorder(postorder.begin() + left_inorder.size(), postorder.end() - 1); // 右子树的后序
        root->left = dfs(left_inorder, left_postorder);
        root->right = dfs(right_inorder, right_postorder);
        return root;
    }
};

int main(int argc, char* argv[]){
    // inorder = [9,3,15,20,7], postorder = [9,15,7,20,3]
    std::vector<int> inorder = {9, 3, 15, 20, 7};
    std::vector<int> postorder = {9, 15, 7, 20, 3};
    Solution S1;
    TreeNode *root = S1.buildTree(inorder, postorder);
    // 层次遍历
    std::queue<TreeNode*> q;
    q.push(root);
    while(!q.empty()){
        TreeNode *tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr) q.push(tmp->left);
        if(tmp->right != nullptr) q.push(tmp->right);
    }
    std::cout << std::endl;
    return 0;
}

15--最大二叉树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归构建二叉树,首先寻找数组中的最大值,根据最大值划分左子树和右子树,递归构建左子树和右子树;

#include <iostream>
#include <vector>
#include <queue>
#include <limits.h>

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:
    TreeNode* constructMaximumBinaryTree(std::vector<int>& nums) {
        TreeNode *root = dfs(nums);
        return root;
    }
    TreeNode* dfs(std::vector<int>& nums){
        if(nums.size() == 1){
            TreeNode* root = new TreeNode(nums[0]);
            return root;
        }
        // 遍历寻找最大值
        int max_idx = 0, max_value = INT_MIN;
        for(int i = 0; i < nums.size(); i++){
            if(nums[i] > max_value) {
                max_value = nums[i];
                max_idx = i;
            }
        }
        TreeNode *root = new TreeNode(nums[max_idx]);
        if(max_idx > 0){
            std::vector<int> left_nums(nums.begin(), nums.begin() + max_idx);
            root->left = dfs(left_nums);
        }
        if(max_idx < nums.size() - 1){
            std::vector<int> right_nums(nums.begin() + max_idx + 1, nums.end());
            root->right = dfs(right_nums);
        }
        return root;
    }
};

int main(int argc, char* argv[]){
    // nums = [3,2,1,6,0,5]
    std::vector<int> nums = {3, 2, 1, 6, 0, 5};
    Solution S1;
    TreeNode *root = S1.constructMaximumBinaryTree(nums);
    // 层次遍历
    std::queue<TreeNode*> q;
    q.push(root);
    while(!q.empty()){
        TreeNode *tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr) q.push(tmp->left);
        if(tmp->right != nullptr) q.push(tmp->right);
    }
    std::cout << std::endl;
    return 0;
}

16--合并二叉树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归构建二叉树,两颗子树均不为 null 时,则构建新节点,其值为传入的两根节点之和;

        当其中一颗子树为空时,返回另一颗子树;

#include <iostream>
#include <vector>
#include <queue>
#include <limits.h>

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:
    TreeNode* mergeTrees(TreeNode* root1, TreeNode* root2) {
        return dfs(root1, root2);
    }

    TreeNode* dfs(TreeNode* root1, TreeNode* root2){
        if(root1 == nullptr) return root2;
        if(root2 == nullptr) return root1;
        TreeNode *root = new TreeNode(root1->val + root2->val);
        root->left = dfs(root1->left, root2->left);
        root->right = dfs(root1->right, root2->right);
        return root;
    }    
};

int main(int argc, char* argv[]){
    // root1 = [1,3,2,5], root2 = [2,1,3,null,4,null,7]
    TreeNode* Node1_1 = new TreeNode(1);
    TreeNode* Node1_2 = new TreeNode(3);
    TreeNode* Node1_3 = new TreeNode(2);
    TreeNode* Node1_4 = new TreeNode(5);

    Node1_1->left = Node1_2;
    Node1_1->right = Node1_3;
    Node1_2->left = Node1_4;

    TreeNode* Node2_1 = new TreeNode(2);
    TreeNode* Node2_2 = new TreeNode(1);
    TreeNode* Node2_3 = new TreeNode(3);
    TreeNode* Node2_4 = new TreeNode(4);
    TreeNode* Node2_5 = new TreeNode(7);

    Node2_1->left = Node2_2;
    Node2_1->right = Node2_3;
    Node2_2->right = Node2_4;
    Node2_3->right = Node2_5;

    Solution S1;
    TreeNode *root = S1.mergeTrees(Node1_1, Node2_1);
    // 层次遍历
    std::queue<TreeNode*> q;
    q.push(root);
    while(!q.empty()){
        TreeNode *tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr) q.push(tmp->left);
        if(tmp->right != nullptr) q.push(tmp->right);
    }
    std::cout << std::endl;
    return 0;
}

17--二叉搜索树中的搜索

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        根据节点大小,递归从左子树或者右子树寻找;

#include <iostream>

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:
    TreeNode* searchBST(TreeNode* root, int val) {
        return dfs(root, val);
    }
    TreeNode* dfs(TreeNode* root, int val){
        if(root == nullptr || root->val == val) return root;

        if(root->val > val){
            return dfs(root->left, val);
        }
        else return dfs(root->right, val);
    }
};

int main(int argc, char* argv[]){
    // root = [4,2,7,1,3], val = 2
    TreeNode *Node1 = new TreeNode(4);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(7);
    TreeNode *Node4 = new TreeNode(1);
    TreeNode *Node5 = new TreeNode(3);
    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;

    int val = 2;
    Solution S1;

    TreeNode *res = S1.searchBST(Node1, val);
    if(res == nullptr) std::cout << "" << std::endl;
    else std::cout << res->val << std::endl;
    return 0;
}

18--验证二叉搜索树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归判断,确保自下而上左子树节点都小于根节点,右子树节点都大于根节点;

#include <iostream>
#include <limits.h>

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:
    bool isValidBST(TreeNode* root) {
        long long max_value = LONG_MAX, min_value = LONG_MIN;
        return dfs(root, max_value, min_value);
    }

    bool dfs(TreeNode *root, long long max_value, long long min_value){
        if(root == nullptr) return true;
        if(root->val >= max_value || root->val <= min_value) return false;
        bool left = dfs(root->left, root->val, min_value);
        bool right = dfs(root->right, max_value, root->val);
        return left && right;
    }
};

int main(int argc, char* argv[]){
    // root = [2, 1, 3]
    TreeNode *Node1 = new TreeNode(2);
    TreeNode *Node2 = new TreeNode(1);
    TreeNode *Node3 = new TreeNode(3);
    Node1->left = Node2;
    Node1->right = Node3;
    Solution S1;

    bool res = S1.isValidBST(Node1);
    if(res) std::cout << "true" << std::endl;
    else std::cout << "false" << std::endl;
    return 0;
}

19--二叉搜索树的最小绝对差

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路1:

        利用中序遍历将二叉搜索树的元素存放在一个递增的数组中,然后遍历递增数组,计算相邻两节点的差值即可;

#include <iostream>
#include <limits.h>
#include <vector>

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 getMinimumDifference(TreeNode* root) {
        std::vector<int> res;
        int min = INT_MAX;
        dfs(root, res);
        for(int i = 1; i < res.size(); i++){
            if(res[i] - res[i-1] < min){
                min = res[i] - res[i-1];
            }
        }
        return min;
    }

    void dfs(TreeNode *root, std::vector<int> &res){
        if(root == nullptr) return;
        dfs(root->left, res);
        res.push_back(root->val);
        dfs(root->right, res);
    }
};

int main(int argc, char* argv[]){
    // root = [4,2,6,1,3]
    TreeNode *Node1 = new TreeNode(4);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(6);
    TreeNode *Node4 = new TreeNode(1);
    TreeNode *Node5 = new TreeNode(3);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;

    Solution S1;
    int res = S1.getMinimumDifference(Node1);
    std::cout << res << std::endl;
    return 0;
}

主要思路2:

        利用双指针递归,记录中序遍历的前一个节点和当前节点,计算两个节点的差值,并更新最小值即可;

#include <iostream>
#include <limits.h>

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 getMinimumDifference(TreeNode* root) {
        dfs(root);
        return min;
    }

    void dfs(TreeNode *cur){
        if(cur == nullptr) return;
        dfs(cur->left);
        if(pre != nullptr){
            min = std::min(min, cur->val - pre->val);
        }
        pre = cur;
        dfs(cur->right);
    }

private:
    int min = INT_MAX;
    TreeNode *pre = nullptr;
};

int main(int argc, char* argv[]){
    // root = [4,2,6,1,3]
    TreeNode *Node1 = new TreeNode(4);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(6);
    TreeNode *Node4 = new TreeNode(1);
    TreeNode *Node5 = new TreeNode(3);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;

    Solution S1;
    int res = S1.getMinimumDifference(Node1);
    std::cout << res << std::endl;
    return 0;
}

20--二叉搜索树中的众数

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        基于双指针中序遍历二叉搜索树,判断pre指针和cur指针指向的节点是否相同,如果相同,则当前节点的 count++,否则 count = 1;

        当某个节点的出现频率与max_count相同时,将其放入结果数组;

        更新众数时需要清空结果数组,并放入最大众数对应的节点;

#include <iostream>
#include <vector>

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:
    std::vector<int> findMode(TreeNode* root) {
        dfs(root);
        return res;
    }

    void dfs(TreeNode* cur){
        if(cur == nullptr) return;
        // 左
        dfs(cur->left);
        if(pre == nullptr || cur->val != pre->val){
            count = 1;
        }
        else{
            count++;
        }

        if(count == max_count) res.push_back(cur->val);
        if(count > max_count){
            max_count = count;
            res.clear();
            res.push_back(cur->val);
        }

        pre = cur; // 双指针
        dfs(cur->right);
    }

private:
    int max_count = 0;
    int count = 0;
    std::vector<int> res;
    TreeNode *pre = nullptr;
};

int main(int argc, char* argv[]){
    // root = [1,null,2,2]
    TreeNode *Node1 = new TreeNode(1);
    TreeNode *Node2 = new TreeNode(2);
    TreeNode *Node3 = new TreeNode(2);

    Node1->right = Node2;
    Node2->left = Node3;

    Solution S1;
    std::vector<int> res = S1.findMode(Node1);
    for(int v : res) std::cout << v << " ";
    std::cout << std::endl;
    return 0;
}

21--二叉树的最近公共祖先

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归自底向上寻找,找到目标节点就返回;对于一个节点,若其左右子树均找到目标节点,则该节点即为最近公共祖先;

        若只有一颗子树能找到目标节点,则该子树的返回结果就是最近公共祖先;

#include <iostream>
#include <string>
#include <vector>

struct TreeNode {
    int val;
    TreeNode *left;
    TreeNode *right;
     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
};

class Solution {
public:
    TreeNode* lowestCommonAncestor(TreeNode* root, TreeNode* p, TreeNode* q) {
        TreeNode* res = dfs(root, p, q);
        return res;
    }

    TreeNode* dfs(TreeNode* root, TreeNode* p, TreeNode* q){
        if(root == nullptr) return nullptr;
        if(root->val == p->val || root->val == q->val) return root;
        TreeNode* left = dfs(root->left, p, q);
        TreeNode* right = dfs(root->right, p, q);
        if(left != nullptr && right != nullptr) return root;
        else if(left != nullptr && right == nullptr) return left;
        else return right;
    }
};

int main(int argc, char* argv[]){
    // root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 1
    TreeNode* Node1 = new TreeNode(3);
    TreeNode* Node2 = new TreeNode(5);
    TreeNode* Node3 = new TreeNode(1);
    TreeNode* Node4 = new TreeNode(6);
    TreeNode* Node5 = new TreeNode(2);
    TreeNode* Node6 = new TreeNode(0);
    TreeNode* Node7 = new TreeNode(8);
    TreeNode* Node8 = new TreeNode(7);
    TreeNode* Node9 = new TreeNode(4);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->left = Node6;
    Node3->right  = Node7;
    Node5->left = Node8;
    Node5->right = Node9;

    Solution S1;
    TreeNode *res = S1.lowestCommonAncestor(Node1, Node2, Node3);
    if(res != nullptr) std::cout << res->val << std::endl;
    else std::cout << "null" << std::endl;
    return 0;
}

22--二叉搜索树的最近公共祖先

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        递归寻找,根据节点大小判断在左子树还是右子树寻找目标节点;

        对于一个节点,假如其值在两个目标节点中间,则该节点为最近公共祖先;

#include <iostream>
#include <string>
#include <vector>

struct TreeNode {
    int val;
    TreeNode *left;
    TreeNode *right;
     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
};

class Solution {
public:
    TreeNode* lowestCommonAncestor(TreeNode* root, TreeNode* p, TreeNode* q) {
        TreeNode* res = dfs(root, p, q);
        return res;
    }
    TreeNode* dfs(TreeNode* root, TreeNode* p, TreeNode* q){
        if(root == nullptr) return nullptr;
        if(root->val > p->val && root->val > q->val){
            return dfs(root->left, p, q);
        }
        else if(root->val < p->val && root->val < q->val){
            return dfs(root->right, p, q);
        }
        else return root;
    }
};

int main(int argc, char* argv[]){
    // root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8
    TreeNode* Node1 = new TreeNode(6);
    TreeNode* Node2 = new TreeNode(2);
    TreeNode* Node3 = new TreeNode(8);
    TreeNode* Node4 = new TreeNode(0);
    TreeNode* Node5 = new TreeNode(4);
    TreeNode* Node6 = new TreeNode(7);
    TreeNode* Node7 = new TreeNode(9);
    TreeNode* Node8 = new TreeNode(3);
    TreeNode* Node9 = new TreeNode(5);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->left = Node6;
    Node3->right  = Node7;
    Node5->left = Node8;
    Node5->right = Node9;

    Solution S1;
    TreeNode *res = S1.lowestCommonAncestor(Node1, Node2, Node3);
    if(res != nullptr) std::cout << res->val << std::endl;
    else std::cout << "null" << std::endl;
    return 0;
}

23--二叉搜索树中的插入操作

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        任意一个节点的插入位置都能在叶子节点上找到,因此只需要递归遍历找到合适的叶子节点位置,将插入节点放到叶子节点位置即可;

#include <iostream>
#include <vector>
#include <queue>

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:
    TreeNode* insertIntoBST(TreeNode* root, int val) {
        return dfs(root, val);
    }

    TreeNode* dfs(TreeNode* root, int val){
        if(root == nullptr){ // 找到叶子节点位置了
            TreeNode* target = new TreeNode(val);
            return target;
        }

        if(root->val > val){
            root->left = dfs(root->left, val);
        }
        else if(root->val < val){
            root->right = dfs(root->right, val);
        }

        return root;
    }
};


int main(int argc, char* argv[]){
    TreeNode* Node1 = new TreeNode(4);
    TreeNode* Node2 = new TreeNode(2);
    TreeNode* Node3 = new TreeNode(7);
    TreeNode* Node4 = new TreeNode(1);
    TreeNode* Node5 = new TreeNode(3);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;

    int val = 5;
    Solution S1;
    TreeNode *res = S1.insertIntoBST(Node1, val);

    // 层次遍历
    std::queue<TreeNode *> q;
    q.push(res);
    while(!q.empty()){
        TreeNode* tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr){
            q.push(tmp->left);
        }
        if(tmp->right != nullptr){
            q.push(tmp->right);
        }
    }
    std::cout << std::endl;

    return 0;
}

24--删除二叉搜索树中的节点

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        删除节点有以下 5 种情况:

① 找不到删除的节点,返回 nullptr;

② 删除节点的左右孩子均为空(即为叶子节点),返回 nullptr;

③ 删除节点的左不空,右空,返回左孩子;

④ 删除节点的右不空,左空,返回右孩子;

⑤ 删除节点的左右均不空,记录删除节点的左孩子,然后递归删除节点的右孩子,找到最左边的叶子节点,将原先记录的删除节点的左孩子放到叶子结点的左孩子中;

#include <iostream>
#include <vector>
#include <queue>

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:
    TreeNode* deleteNode(TreeNode* root, int key) {
        return dfs(root, key);
    }

    TreeNode* dfs(TreeNode* root, int key){
        if(root == nullptr) return nullptr; // 删除节点不存在
        if(root->val == key){ // 找到删除的叶子节点
            if(root->left == nullptr && root->right == nullptr){
                TreeNode *tmp = root;
                delete(tmp);
                return nullptr;
            }
            else if(root->left != nullptr && root->right == nullptr){
                TreeNode *tmp = root;
                TreeNode *left = root->left;
                delete(tmp);
                return left;
            }
            else if(root->left == nullptr && root->right != nullptr){
                TreeNode *tmp = root;
                TreeNode *right = root->right;
                delete(tmp);
                return right;
            }
            else{ // root->left != nullptr && root->right != nullptr
                TreeNode* left = root->left; // 记录其左子树
                TreeNode* right = root->right;
                TreeNode* cur = root->right;
                while(cur -> left != nullptr){ // 递归其右子树
                    cur = cur->left;
                }
                cur->left = left; // 将左子树作为右子树最左边的叶子节点的左孩子
                delete(root);
                return right; // 返回右子树
            }
        }
        if(root->val > key) root->left = dfs(root->left, key);
        else root->right = dfs(root->right, key);
        return root;
    }  
};

int main(int argc, char* argv[]){
    TreeNode* Node1 = new TreeNode(5);
    TreeNode* Node2 = new TreeNode(3);
    TreeNode* Node3 = new TreeNode(6);
    TreeNode* Node4 = new TreeNode(2);
    TreeNode* Node5 = new TreeNode(4);
    TreeNode* Node6 = new TreeNode(7);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->right = Node6;

    int key = 3;
    Solution S1;
    TreeNode *res = S1.deleteNode(Node1, key);

    // 层次遍历
    std::queue<TreeNode *> q;
    q.push(res);
    while(!q.empty()){
        TreeNode* tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr){
            q.push(tmp->left);
        }
        if(tmp->right != nullptr){
            q.push(tmp->right);
        }
    }
    std::cout << std::endl;

    return 0;
}

25--修建二叉搜索树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        对于小于左边界的节点,则其左子树所有节点都会小于左边界,因此可以舍弃;但仍需要递归判断其右子树;

        对于大于右边界的节点,则其右子树所有节点都会大于右边界,因此可以舍弃;但仍需要递归判断其左子树;

#include <iostream>
#include <vector>
#include <queue>

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:
    TreeNode* trimBST(TreeNode* root, int low, int high) {
        return dfs(root, low, high);
    }
    TreeNode* dfs(TreeNode* root, int low, int high){
        if(root == nullptr) return nullptr;
        if(root->val < low){
            return dfs(root->right, low, high);
        }
        if(root->val > high){
            return dfs(root->left, low, high);
        }

        root->left = dfs(root->left, low, high);
        root->right = dfs(root->right, low, high);
        return root;
    }
};

int main(int argc, char* argv[]){
    // root = [1,0,2], low = 1, high = 2
    TreeNode* Node1 = new TreeNode(1);
    TreeNode* Node2 = new TreeNode(0);
    TreeNode* Node3 = new TreeNode(2);

    Node1->left = Node2;
    Node1->right = Node3;

    int low = 1, high = 2;
    Solution S1;
    TreeNode *res = S1.trimBST(Node1, low, high);

    // 层次遍历
    std::queue<TreeNode *> q;
    q.push(res);
    while(!q.empty()){
        TreeNode* tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr){
            q.push(tmp->left);
        }
        if(tmp->right != nullptr){
            q.push(tmp->right);
        }
    }
    std::cout << std::endl;

    return 0;
}

26--将有序数组转换为二叉搜索树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

        二分有序数组,递归构造左子树和右子树;

#include <iostream>
#include <queue>
#include <vector>

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:
    TreeNode* sortedArrayToBST(std::vector<int>& nums) {
        TreeNode* res = dfs(nums, 0, nums.size() - 1);
        return res;
    }

    TreeNode* dfs(std::vector<int>& nums, int left, int right){
        if(left > right) {
            return nullptr;
        }
        int mid = left + (right - left) / 2;
        TreeNode* root = new TreeNode(nums[mid]);
        root->left = dfs(nums, left, mid - 1);
        root->right = dfs(nums, mid + 1, right);
        return root;
    }
};

int main(int argc, char* argv[]){
    // nums = [-10,-3,0,5,9]
    std::vector<int> nums = {-10, -3, 0, 5, 9};
    Solution S1;
    TreeNode *res = S1.sortedArrayToBST(nums);
    // 层次遍历二叉树
    std::queue<TreeNode*> q;
    q.push(res);
    while(!q.empty()){
        TreeNode* tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr) q.push(tmp->left);
        if(tmp->right != nullptr) q.push(tmp->right);
    }
    return 0;
}

27--把二叉搜索树转换为累加树

代码随想录笔记--二叉树篇,数据结构&amp;LeetCode,数据结构

主要思路:

       二叉搜索树按照 左→根→右 的顺序遍历是一个升序数组,则按照右 → 根 → 左的顺序遍历就是一个降序数组;

        因此可以按照降序的顺序遍历,将当前节点的值更新为当前节点的值+前一个节点的值

        用一个变量 pre 来记录上一个节点的值(类似于求二叉树众数的双指针),每遍历一个节点,更新 pre 的值;文章来源地址https://www.toymoban.com/news/detail-693367.html

#include <iostream>
#include <queue>
#include <vector>

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:
    TreeNode* convertBST(TreeNode* root) {
        dfs(root);
        return root;
    }

    void dfs(TreeNode* cur){
        if(cur == nullptr) return;
        // 右
        dfs(cur->right);
        // 中
        cur->val = pre + cur->val;
        pre = cur->val; // 更新pre
        // 左
        dfs(cur->left);
    }
private:
    int pre = 0;
};

int main(int argc, char* argv[]){
    // [4,1,6,0,2,5,7,null,null,null,3,null,null,null,8]
    TreeNode* Node1 = new TreeNode(4);
    TreeNode* Node2 = new TreeNode(1);
    TreeNode* Node3 = new TreeNode(6);
    TreeNode* Node4 = new TreeNode(0);
    TreeNode* Node5 = new TreeNode(2);
    TreeNode* Node6 = new TreeNode(5);
    TreeNode* Node7 = new TreeNode(7);
    TreeNode* Node8 = new TreeNode(3);
    TreeNode* Node9 = new TreeNode(8);

    Node1->left = Node2;
    Node1->right = Node3;
    Node2->left = Node4;
    Node2->right = Node5;
    Node3->left = Node6;
    Node3->right = Node7;
    Node5->right = Node8;
    Node7->right = Node9;

    Solution S1;
    TreeNode *res = S1.convertBST(Node1);
    // 层次遍历二叉树
    std::queue<TreeNode*> q;
    q.push(res);
    while(!q.empty()){
        TreeNode* tmp = q.front();
        q.pop();
        std::cout << tmp->val << " ";
        if(tmp->left != nullptr) q.push(tmp->left);
        if(tmp->right != nullptr) q.push(tmp->right);
    }
    return 0;
}

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