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 rotated4
times.[0,1,4,4,5,6,7]
if it was rotated7
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 1:
Input: nums = [1,3,5] Output: 1
Example 2:
Input: nums = [2,2,2,0,1] Output: 0
Constraints:
n == nums.length
1 <= n <= 5000
-5000 <= nums[i] <= 5000
nums
is sorted and rotated between1
andn
times.
Follow up: This problem is similar to Find Minimum in Rotated Sorted Array, but nums
may contain duplicates. Would this affect the runtime complexity? How and why?
Companies:
Facebook
Related Topics:
Array, Binary Search
Similar Questions:
// OJ: https://leetcode.com/problems/find-minimum-in-rotated-sorted-array-ii/
// Author: github.com/lzl124631x
// Time: average O(logN), worst O(N)
// Space: O(1)
class Solution {
public:
int findMin(vector<int>& A) {
int L = 0, R = A.size() - 1;
while (L < R) {
int M = (L + R) / 2;
if (A[M] > A[R]) L = M + 1;
else if (A[M] < A[R]) R = M;
else --R; // since `A[L]` might be the answer and `A[M]` is the same as `A[R]`, it's safe to --R.
}
return A[L];
}
};