Binary Search
07. Find Minimum in Rotated Sorted Array
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[n-1]] one time results in [a[n-1], a[0], a[1], ..., 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.
Examples
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 integers in nums are unique.
- nums is sorted and rotated between 1 and n times.
from typing import List
def findMin(nums: List[int]) -> int:
left: int = 0
right: int = len(nums) - 1
# Already sorted, no rotation
if nums[left] < nums[right]:
return nums[left]
while left < right:
mid: int = (left + right) // 2
if nums[mid] > nums[right]:
# Minimum is in the right half
left = mid + 1
else:
# Minimum is in the left half (including mid)
right = mid
return nums[left]
if __name__ == "__main__":
print(findMin([3, 4, 5, 1, 2])) # 1
# print(findMin([4, 5, 6, 7, 0, 1, 2])) # 0
# print(findMin([11, 13, 15, 17])) # 11 Keyboard shortcuts
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