Leetcode -- Kth Smallest Element in a BST, leetcode

Leetcode -- Kth Smallest Element in a BST, leetcode

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 wocould you optimize the kthSmallest routine?

Hint:

Try to utilize the property of a BST. Show More Hint
Credits:
Special thanks to @ ts for adding this problem and creating all test cases.

Two ideas:
1. Space Change Time
The feature of BST is that, if it is arranged in the medium order, the incremental order is obtained. Therefore, you can use a stack to traverse in the middle order until the K element is found;
2. node number of the tree
For each node root, calculate the number of nodes in the tree with the root node as S.
If S = K, return root-> val;
If S> K, search for the smallest K element in the left subtree of the root user;
If S

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {    public int kthSmallest(TreeNode root, int k) {        Stack<TreeNode> s = new Stack<>();        TreeNode p=root;        s.push(p);        int cnt=0;        do{            while(p!=null){                s.push(p);                p=p.left;            }            TreeNode top=s.pop();            cnt++;            if(cnt==k){                return top.val;            }            p=top.right;        }while(!s.empty());        return 0;    }}

Idea 2 code:

/** * 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 kthSmallest(TreeNode* root, int k) {        int left=findNodesSum(root->left);        if(left+1==k){            return root->val;        }else if(left+1<k){            return kthSmallest(root->right,k-left-1);        }else{            return kthSmallest(root->left,k);        }    }    int findNodesSum(TreeNode* root){        if(!root){            return 0;        }        int sum = findNodesSum(root->left)+findNodesSum(root->right)+1;        return sum;    }};

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