[LeetCode] Convert Sorted Array to Binary Search Tree 将有序数组转为二叉搜索树

 

Given an array where elements are sorted in ascending order, convert it to a height balanced BST.

For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of everynode never differ by more than 1.

Example:

Given the sorted array: [-10,-3,0,5,9],

One possible answer is: [0,-3,9,-10,null,5], which represents the following height balanced BST:

      0
     / \
   -3   9
   /   /
 -10  5

 

这道题是要将有序数组转为二叉搜索树，所谓二叉搜索树，是一种始终满足左<根<右的特性，如果将二叉搜索树按中序遍历的话，得到的就是一个有序数组了。那么反过来，我们可以得知，根节点应该是有序数组的中间点，从中间点分开为左右两个有序数组，在分别找出其中间点作为原中间点的左右两个子节点，这不就是是二分查找法的核心思想么。所以这道题考的就是二分查找法，代码如下：

 

解法一：

class Solution {
public:
    TreeNode* sortedArrayToBST(vector<int>& nums) {
        return helper(nums, 0 , (int)nums.size() - 1);
    }
    TreeNode* helper(vector<int>& nums, int left, int right) {
        if (left > right) return NULL;
        int mid = left + (right - left) / 2;
        TreeNode *cur = new TreeNode(nums[mid]);
        cur->left = helper(nums, left, mid - 1);
        cur->right = helper(nums, mid + 1, right);
        return cur;
    }
};

 

我们也可以不使用额外的递归函数，而是在原函数中完成递归，由于原函数的参数是一个数组，所以当把输入数组的中间数字取出来后，需要把所有两端的数组组成一个新的数组，并且分别调用递归函数，并且连到新创建的cur结点的左右子结点上面，参见代码如下：

 

解法二：

class Solution {
public:
    TreeNode* sortedArrayToBST(vector<int>& nums) {
        if (nums.empty()) return NULL;
        int mid = nums.size() / 2;
        TreeNode *cur = new TreeNode(nums[mid]);
        vector<int> left(nums.begin(), nums.begin() + mid), right(nums.begin() + mid + 1, nums.end());
        cur->left = sortedArrayToBST(left);
        cur->right = sortedArrayToBST(right);
        return cur;
    }
};

 

类似题目：

Convert Sorted List to Binary Search Tree

 

参考资料：

https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/

https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/discuss/35220/My-Accepted-Java-Solution

https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/discuss/35394/6-lines-Java-Accepted-Solution

 

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