154. Find Minimum in Rotated Sorted Array II
Array, Binary Search ·Problem Statement
link: https://leetcode.com/problems/find-minimum-in-rotated-sorted-array-ii/ https://leetcode.cn/problems/find-minimum-in-rotated-sorted-array-ii/
Suppose an array of length n sorted in ascending order is rotated between 1 and n times. For example, the array nums = [0,1,4,4,5,6,7] might become:
[4,5,6,7,0,1,4] if it was rotated 4 times.
[0,1,4,4,5,6,7] 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 that may contain duplicates, return the minimum element of this array.
You must decrease the overall operation steps as much as possible. Example:
Input: nums = [1,3,5]
Output: 1
Input: nums = [2,2,2,0,1]
Output: 0
Solution Approach
The solution efficiently identifies the minimum element using modified binary search tailored for rotated arrays.
Algorithm
- Initialization: Set pointers l and r to the start and end of the array.
- Midpoint Evaluation: Check the middle of the array; if it’s less than the rightmost value, the smallest value is in the left half; if it’s greater, the smallest value is in the right half.
- Handling Duplicates: If the middle value equals the rightmost value, it’s not clear which half of the array the minimum is in. Decrement the right pointer and continue the search.
Implement
class Solution:
def findMin(self, nums: List[int]) -> int:
l, r = 0, len(nums) - 1
while l < r:
m = (l + r) // 2
if nums[m] < nums[r]:
r = m
elif nums[m] > nums[r]:
l = m + 1
else:
r -= 1
return nums[l]