Given a binary tree containing digits from 0-9 only, each root-to-leaf path could represent a number.
An example is the root-to-leaf path 1->2->3 which represents the number 123.
Find the total sum of all root-to-leaf numbers.
For example,

  1
 / \
2   3

The root-to-leaf path 1->2 represents the number 12.
The root-to-leaf path 1->3 represents the number 13.
Return the sum = 12 + 13 = 25.

解析

这道题目不难，用递归很好解决，只要有儿子就要加数字，这里的数字组成方式是旧的树*10+新的数。

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/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
 * };
 */
class Solution {
public:
    int sumNumbers(TreeNode* root) {
        if(!root) return 0;
        int sum=0;
        getSum(root,root->val,sum);
        return sum;
            
    }
    void getSum(TreeNode * root,int number,int &sum){
        if(root->left)
            getSum(root->left,number*10+root->left->val,sum);
        if(root->right)
            getSum(root->right,number*10+root->right->val,sum);
        if(!root->left&&!root->right){
            sum += number;
        }
    }
};

Given a root node reference of a BST and a key, delete the node with the given key in the BST. Return the root node reference (possibly updated) of the BST.
Basically, the deletion can be divided into two stages:
Search for a node to remove.
If the node is found, delete the node.
Note: Time complexity should be O(height of tree).

root = [5,3,6,2,4,null,7]
key = 3

    5
   / \
  3   6
 / \   \
2   4   7

Given key to delete is 3. So we find the node with value 3 and delete it.

One valid answer is [5,4,6,2,null,null,7], shown in the following BST.

    5
   / \
  4   6
 /     \
2       7

Another valid answer is [5,2,6,null,4,null,7].

    5
   / \
  2   6
   \   \
    4   7

解析

这道题目重点分以下几种情况去分析

1. 如果要删除的那个节点存在，且他的左右子树不都存在。那就直接用子树去替代被删除的节点。
2. 如果要删除的节点左右子树都存在的话，正如上面所示的其实有两种解决方案，一种就是拿右子树的最小值去替代，另外一种就是拿左子树的最大值去替代。替代完之后又要删除替代的那个节点（这里逻辑就可以套用1去解决）。

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   /** * Definition for a binary tree node. * struct TreeNode { * int val; * TreeNode *left; * TreeNode *right; * TreeNode(int x) : val(x), left(NULL), right(NULL) {} * }; */ class Solution { public: TreeNode* deleteNode(TreeNode* root, int key) { if(!root) return NULL; //搜索那个要删除的节点 if(key < root->val){ //在左子树搜 root->left = deleteNode(root->left,key); } else if(key > root->val){ //在右子树搜 root->right = deleteNode(root->right,key); } else { //找到删除节点，而且左右子树只存在一个以下。 if(!root->left||!root->right){ root = (root->left) ? root->left : root->right; }else{ //左右子树都存在 TreeNode* cur; cur = root->right; while(cur->left){ cur = cur->left ; } root->val = cur->val; //删除右子树下用来替换的节点。 root->right = deleteNode(root->right,cur->val); } } return root; } };

输入某二叉树的前序遍历和中序遍历的结果，请重建出该二叉树。假设输入的前序遍历和中序遍历的结果中都不含重复的数字。例如输入前序遍历序列{1,2,4,7,3,5,6,8}和中序遍历序列{4,7,2,1,5,3,8,6}，则重建二叉树并返回。

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class Solution {
public:
    TreeNode* buildTree(vector<int>& preorder, vector<int>& inorder) {
    //判断两个向量大小是否相等
        if(preorder.size() != inorder.size())
            return NULL;
        int length = preorder.size();
        //传入首尾的索引
        return constructTree(preorder,0,length-1,inorder,0,length-1);
        
    }
    TreeNode* constructTree(vector<int>& preorder,int ps, int pend,vector<int>& inorder ,int is,int iend){
    //边界值判断 超出就表示没有左右树了。
        if(ps>pend || is>iend)
            return NULL;
        TreeNode *root = new TreeNode(preorder[ps]);
        int irootpos;
            for(int i=is;i<=iend;i++){
                if(inorder[i] == root->val){
                    irootpos = i;
                    break;
                }
            }
        //获取中序的左边的长度 表示左子树的大小
        int leftlength = irootpos - is;
        //获取中序的右边的长度 表示右子树的大小
        int rightlength = iend - irootpos;
        //进入递归
        root->left = constructTree(preorder,ps+1,ps+leftlength,inorder,is,irootpos-1);
        root->right = constructTree(preorder,pend-rightlength+1,pend,inorder,irootpos+1,iend);
        //返回根节点
        return root;
               
    }
    
};

Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.

According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has both v and w as descendants (where we allow a node to be a descendant of itself).”

     _______6______
    /              \
 ___2__          ___8__
/      \        /      \
0      _4       7       9
      /  \
      3   5

For example, the lowest common ancestor (LCA) of nodes 2 and 8 is 6. Another example is LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition.

意思就是找俩个节点的共同祖先。
这是一颗二叉搜索树，解决思路就比较简答。输入参数是根节点和找共同祖先的两个节点。我们就可以让两个节点和root节点做比较。有以下几种情况：

1. 两个节点中一个比根节点大，另一个比根节点小。那么他们的祖先就是root。
2. 两个节点有一个节点等于根节点，那么很显然他们的祖先就是root。
3. 两个节点都比root节点大，那么缩小两个几点的搜索范围，到root的右子树中，然后再和root->right 做比较。
4. 同理，两个节点都比root的节点小，到root的左子树做比较。

代码如下：

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/**
 * Definition for a binary tree node.
 * 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) {
        if((root->val > p->val && root->val< q->val) ||(root->val < p->val && root->val> q->val))
            return root;
        if(root->val == p->val ||root->val== q->val)
            return root;
        if(root->val>p->val&&root->val>q->val)
            return lowestCommonAncestor(root->left,p,q);
        if(root->val<p->val&&root->val<q->val)
            return lowestCommonAncestor(root->right,p,q);
      
        
    }
};

Given a binary tree, find its maximum depth.

The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.

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/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
 * };
 */
class Solution {
public:
    int maxDepth(TreeNode* root) {
        if(root == NULL)
            return 0;
        return max(1+maxDepth(root->left),1+maxDepth(root->right));
    }
};

这道题目就是不断的递归左右子树，父的深度比儿子深度大1，左右儿子深度做比较，得出最大深度。
可以看出递归思想在解决树问题的重要性。

Invert a binary tree.

     4
   /   \
  2     7
 / \   / \
1   3 6   9

to

     4
   /   \
  7     2
 / \   / \
9   6 3   1

Trivia:
This problem was inspired by this original tweet by Max Howell:

Google: 90% of our engineers use the software you wrote (Homebrew),
but you can’t invert a binary tree on a whiteboard so fuck off.

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/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
 * };
 */
class Solution {
public:
    TreeNode* invertTree(TreeNode* root) {
        if(root == NULL)
            return NULL;
        root->left =  invertTree(root->left);
        root->right =  invertTree(root->right);
        TreeNode *tmp = root->left;
        root->left = root->right;
        root->right = tmp;
        return root;
    }
};

这到题目不难，主要用了递归的思想，反转二叉树就是每个节点下的左右儿子，我们需要从他的最下面开始反转，这里用递归就很合适。

You are given a binary tree in which each node contains an integer value.
Find the number of paths that sum to a given value.
The path does not need to start or end at the root or a leaf, but it must go downwards (traveling only from parent nodes to child nodes).
The tree has no more than 1,000 nodes and the values are in the range -1,000,000 to 1,000,000.

root = [10,5,-3,3,2,null,11,3,-2,null,1], sum = 8

      10
     /  \
    5   -3
   / \    \
  3   2   11
 / \   \
3  -2   1

Return 3. The paths that sum to 8 are:

1.  5 -> 3
2.  5 -> 2 -> 1
3. -3 -> 11

题目就是求和为8的向下的路径数
1，2，3，4，5是连续的五段路程不能跳过。如果想到站点5到达各地有几条路程，5->4->3->2->1 ，5->4->3->2，5->4->3，
5->4，有四条路径。找和为8的路径只是多加了个条件。首先我们以root为节点，向下查找，再以root的左右儿子为节点查找，然后左右儿子又以自己的左右儿子为节点向下查找。所以用递归来完成。

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/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
 * };
 */
class Solution {
public:
    int pathSum(TreeNode* root, int sum) {
        int res = 0;
        if(root == NULL)
            return res;
        return dfs(root,sum)+pathSum(root->left,sum)+pathSum(root->right,sum);
    }
    int dfs(TreeNode* root,int sum){
        int res = 0;
        if(root == NULL)
            return res;
        if(root->val == sum)
            res++;
        res+= dfs(root->left,sum-root->val);
        res+= dfs(root->right,sum-root->val);
        return res;

        
    }
};

这里的深度搜索dfs和下面求平衡二叉树时的depth是类似的。

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class Solution {
    public:
        bool isBalanced(TreeNode* root) {
            if(root == NULL)
                return true;
            if(root->left == NULL&&root->right == NULL)
                return true;
            if(abs(depth(root->left)-depth(root->right))>1)
                return false;
            return isBalanced(root->left)&&isBalanced(root->right);
        }
        int depth(TreeNode* root){
            if(root == NULL)
                return 0;
            return max(1+depth(root->left),1+depth(root->right));
        }
    };

判断是否是平衡二叉树

QuestionEditorial Solution My Submissions
Total Accepted: 147366
Total Submissions: 408360
Difficulty: Easy
Contributors: Admin
Given a binary tree, determine if it is height-balanced.
For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.
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平衡二叉树：它是一 棵空树或它的左右两个子树的高度差的绝对值不超过1，并且左右两个子树都是一棵平衡二叉树。
如何解决这道题目一个思路就是按照递归的思路去做。先去判读根节点的左右两边的深度差是否大于1，小于的话再去判断他的子树是否为平衡二叉树。这里就要借助递归。

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class Solution {
    public:
        bool isBalanced(TreeNode* root) {
            if(root == NULL)
                return true;
            if(root->left == NULL&&root->right == NULL)
                return true;
            if(abs(depth(root->left)-depth(root->right))>1)
                return false;
            return isBalanced(root->left)&&isBalanced(root->right);
        }
        int depth(TreeNode* root){
            if(root == NULL)
                return 0;
            return max(1+depth(root->left),1+depth(root->right));
        }
    };

一开始我觉得这种算法很顺手的，思考的时候也很简单。但是我后来在leetcode上测了下时间有快20ms，就觉得有问题，原来一看这里又两层递归就是递归里面套递归，所以花费时间很长时间在这里面。
这种算法的时间复杂度为nlogn所以大量时间花费在了算书的深度上。
然后上网查了下有如下的算法：

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class Solution {
public:
    bool isBalanced(TreeNode* root) {
        // write code here
        int high=0;
        return isBalance1(root,high);
    }
    bool isBalance1(TreeNode* root,int &high)
    {
        if(root==NULL)
        {
            high=0;
            return true;
        }
        int lhigh,rhigh;
        if(!isBalance1(root->left,lhigh)||!isBalance1(root->right,rhigh))
            return false;
        if(lhigh-rhigh>1||lhigh-rhigh<-1)
            return false;
        high=(lhigh>=rhigh?lhigh:rhigh)+1;
        return true;
    }
};

这种算法就用了一层递归，高度的递归在算平衡里面已经解决了，所以速度要比上面的要快。

Same Tree

Given two binary trees, write a function to check if they are equal or not.
Two binary trees are considered equal if they are structurally identical and the nodes have the same value.
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题目就是判断两颗树是不是相同的树。
解决思路：依次去判断这棵树的每个节点，是否存在这个节点，每个节点的值是否一样，然后他的子节点是否相同是否遵循以上规则。这就可以用递归来做。
时间复杂度O(n),空间复杂度O(logn)

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/**
  * Definition for a binary tree node.
  * struct TreeNode {
  *     int val;
  *     TreeNode *left;
  *     TreeNode *right;
  *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
  * };
  */
 class Solution {
 public:
     bool isSameTree(TreeNode* p, TreeNode* q) {
         if(p == NULL&&q == NULL)
             return true;
         if(p == NULL||q == NULL)
             return false;
         if(p->val != q->val)
             return false;
         return isSameTree(p->left,q->left)&&isSameTree(p->right,q->right);
     }
 };