153. Find Minimum in Rotated Sorted Array
Medium
Suppose an array of length n sorted in ascending order is rotated between 1 and n times. For example, the array nums = [0,1,2,4,5,6,7] might become:
- [4,5,6,7,0,1,2] if it was rotated 4 times.
- [0,1,2,4,5,6,7] if it was rotated 7 times.
Notice that rotating an array [a[0], a[1], a[2], ..., a[n-1]] 1 time results in the array [a[n-1], a[0], a[1], a[2], ..., a[n-2]].
Given the sorted rotated array nums of unique elements, return the minimum element of this array.
You must write an algorithm that runs in O(log n) time.
Example 1:
Input: nums = [3,4,5,1,2]
Output: 1
Explanation: The original array was [1,2,3,4,5] rotated 3 times.
Example 2:
Input: nums = [4,5,6,7,0,1,2]
Output: 0
Explanation: The original array was [0,1,2,4,5,6,7] and it was rotated 4 times.
Example 3:
Input: nums = [11,13,15,17]
Output: 11
Explanation: The original array was [11,13,15,17] and it was rotated 4 times.
Constraints:
- n == nums.length
- 1 <= n <= 5000
- -5000 <= nums[i] <= 5000
- All the integers of nums are unique.
- nums is sorted and rotated between 1 and n times.
Solution
class Solution:
def findMin(self, nums: List[int]) -> int:
return self.helper(nums, 0, len(nums) - 1)
def helper(self, nums: List[int], low: int, high: int) -> int:
if low > high:
return nums[0]
if low == high:
return nums[low]
mid = (high + low) // 2
if nums[mid] > nums[mid + 1]:
return nums[mid + 1]
if nums[mid - 1] > nums[mid]:
return nums[mid]
if nums[mid] < nums[high]:
return self.helper(nums, low, mid - 1)
return self.helper(nums, mid + 1, high)