题目¶
原题地址:https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree/
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 every node 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
解法¶
二分法生成左右子节点¶
可以用二分法把一个有序数组转换为一个平衡二叉搜索树:
- 将数组从中间切分,
- 中间那个数是根节点,
- 左边的数组是左子节点构成的数组,
- 右边的数组是右子节点构成的数组,
- 按同样的方法切分左边数组和右边数组。
这个方法的 Python 代码类似下面这样:
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution(object):
def sortedArrayToBST(self, nums):
root = self.buildBST(nums, 0, len(nums) - 1)
return root
def buildBST(self, nums, min_index, max_index):
if min_index > max_index:
return
mid_index = min_index + (max_index - min_index)/2
root = TreeNode(nums[mid_index])
root.left = self.buildBST(nums, min_index, mid_index - 1)
root.right = self.buildBST(nums, mid_index + 1, max_index)
return root
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