108. Convert Sorted Array to Binary Search Tree
Description
Given an integer array nums
where the elements are sorted in ascending order, convert it to a height-balanced binary search tree.
Example 1:
Input: nums = [-10,-3,0,5,9] Output: [0,-3,9,-10,null,5] Explanation: [0,-10,5,null,-3,null,9] is also accepted:
Example 2:
Input: nums = [1,3] Output: [3,1] Explanation: [1,null,3] and [3,1] are both height-balanced BSTs.
Constraints:
1 <= nums.length <= 104
-104 <= nums[i] <= 104
nums
is sorted in a strictly increasing order.
Solutions
Solution 1: Binary Search + Recursion
We design a recursive function $dfs(l, r)$, which indicates that the node values of the current binary search tree to be constructed are all within the index range $[l, r]$ of the array nums
. This function returns the root node of the constructed binary search tree.
The execution process of the function $dfs(l, r)$ is as follows:
- If $l > r$, it means the current array is empty, return
null
. - If $l \leq r$, take the element with the index $mid = \lfloor \frac{l + r}{2} \rfloor$ in the array as the root node of the current binary search tree, where $\lfloor x \rfloor$ represents rounding down $x$.
- Recursively construct the left subtree of the current binary search tree, whose root node value is the element with the index $mid - 1$ in the array, and the node values of the left subtree are all within the index range $[l, mid - 1]$ of the array.
- Recursively construct the right subtree of the current binary search tree, whose root node value is the element with the index $mid + 1$ in the array, and the node values of the right subtree are all within the index range $[mid + 1, r]$ of the array.
- Return the root node of the current binary search tree.
The answer is the return value of the function $dfs(0, n - 1)$.
The time complexity is $O(n)$, and the space complexity is $O(\log n)$. Here, $n$ is the length of the array nums
.
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