[抄题]:

Given a binary search tree and the lowest and highest boundaries as L and R, trim the tree so that all its elements lies in [L, R] (R >= L). You might need to change the root of the tree, so the result should return the new root of the trimmed binary search tree.

Example 1:

Input:
1
/ \
0 2 L = 1
R = 2 Output:
1
\
2

Example 2:

Input:
3
/ \
0 4
\
2
/
1 L = 1
R = 3 Output:
3
/
2
/
1

[暴力解法]:

时间分析:

空间分析:

[奇葩输出条件]:

判断节点的值是否不在范围内,而非节点是否非空。第一次见,要注意。

[奇葩corner case]:

[思维问题]:

[一句话思路]:

分左右之后为了保持一路的继承关系,还是左节点traverse左节点

[输入量]:空: 正常情况:特大:特小:程序里处理到的特殊情况:异常情况(不合法不合理的输入):

[画图]:

[一刷]:

  1. traverse中的主操作是对root一个节点进行的,操作完直接返回。分左右之后为了保持一路的继承关系,还是左节点traverse左节点,操作完还有下一步,不用返回。

[二刷]:

[三刷]:

[四刷]:

[五刷]:

[五分钟肉眼debug的结果]:

[总结]:

traverse中的主操作是对root一个节点进行的,操作完直接返回。

[复杂度]:Time complexity: O(n) Space complexity: O(n)

[英文数据结构或算法,为什么不用别的数据结构或算法]:

左右是节点,因为左右子树都是新建的

[关键模板化代码]:

//trim left
root.left = trimBST(root.left, L, R);
//trim right
root.right = trimBST(root.right, L, R);

[其他解法]:

[Follow Up]:

[LC给出的题目变变变]:

[代码风格] :

/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public TreeNode trimBST(TreeNode root, int L, int R) {
//corner case: if root is null
if (root == null) {
return null;
}
//corner case: if left or right is out of bound
if (root.val < L) {
return trimBST(root.right, L, R);
}
if (root.val > R) {
return trimBST(root.left, L, R);
}
//trim left
root.left = trimBST(root.left, L, R);
//trim right
root.right = trimBST(root.right, L, R);
//return
return root;
}
}

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