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.算法思路:
二分法
注意事项:
- 如果nums[start] > nums[mid]或nums[mid] > nums[end]都将会是min所在的区间。但是由于无位移数组的min在左边,所以优先判断后半区间nums[mid] > nums[end],否则若用nums[start] > nums[mid] + else会忽略无位移情况。
Python代码:
1 | def findMin(self, nums: List[int]) -> int: |
Java代码:
1 | public int findMin(int[] nums) { |
算法分析:
时间复杂度为O(logn),空间复杂度O(1)


