Leetcode Kth Smallest Element in a BST

Given a binary search tree, write a function kthSmallest to find the kth smallest element in it.

Note: 
You may assume k is always valid, 1 ≤ k ≤ BST’s total elements.

Follow up:
What if the BST is modified (insert/delete operations) often and you need to find the kth smallest frequently? How would you optimize the kthSmallest routine?

Hint:

1. Try to utilize the property of a BST.
2. What if you could modify the BST node’s structure?
3. The optimal runtime complexity is O(height of BST).

题目意思：

　　给定一棵二叉搜索树，找到第k小的元素

　　注意：

　　　　1、利用二叉搜索树的特性

　　　　2、修改二叉搜索树的节点结构

　　　　3、最优时间复杂度是0(树的高度)

解题思路：

方法一：

　　二叉搜索树的特性：其中序遍历是有序的。故中序遍历访问，访问第k个元素即可。

方法二：

　　利用分冶的方法。

• 统计根节点左子树的节点个数cnt
• 如果cnt+1 = k，则根节点即为第k个最小元素
• 如果cnt+1 > k，则第k个最小元素在左子树，root = root->left;
• 如果cnt+1 < k，则第k个最小元素在右子树，root = root->right;
• 重复第一步

源代码：

方法一：

 class Solution {
 public:
     int kthSmallest(TreeNode* root, int k) {
         stack<TreeNode*> nodeStack;
         if(root == NULL) return -;
         while(true){
             while(root){
                 nodeStack.push(root);
                 root = root->left;
             }
             TreeNode* node = nodeStack.top(); nodeStack.pop();
             if(k == ) return node->val;
             else root = node->right,k--;
         }
     }
 };

方法二：

 class Solution {
 public:
     int calcNodeSize(TreeNode* root){
         if( root == NULL) return ;
         return  + calcNodeSize(root->left) + calcNodeSize(root->right);
     }     int kthSmallest(TreeNode* root, int k) {
         if(root == NULL) return ;
         int cnt = calcNodeSize(root->left);
         if(k == cnt + ) return root->val;
         else if( k < cnt +  ) return kthSmallest(root->left,k);
         else return kthSmallest(root->right, k-cnt-);
     }
 };