LeetCode 81: Search in Rotated Sorted Array II Solution
Master LeetCode problem 81 (Search in Rotated Sorted Array II), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
81. Search in Rotated Sorted Array II
Problem Explanation
Explanation
To solve this problem efficiently, we can modify the binary search algorithm. The idea is to check which part of the rotated array is sorted and then perform binary search on that part. We need to handle the case where there are duplicates in the array.
- Initialize two pointers,
leftat index 0 andrightat indexnums.length - 1. - While
left <= right, calculate the middle indexmid. - If
nums[mid] == target, return true. - If
nums[left] == nums[mid], incrementleftand continue the loop. - Check if the left half (
nums[left] <= nums[mid]) is sorted:- If
nums[left] <= nums[mid]andnums[left] <= target < nums[mid], updateright = mid - 1. - Otherwise, update
left = mid + 1.
- If
- If the left half is not sorted, the right half must be sorted:
- If
nums[mid] < target <= nums[right], updateleft = mid + 1. - Otherwise, update
right = mid - 1.
- If
- If target is not found after the loop, return false.
Time complexity: O(log n)
Space complexity: O(1)
Solution Code
class Solution {
public boolean search(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] == target) {
return true;
}
if (nums[left] == nums[mid]) {
left++;
} else if (nums[left] <= nums[mid]) {
if (nums[left] <= target && target < nums[mid]) {
right = mid - 1;
} else {
left = mid + 1;
}
} else {
if (nums[mid] < target && target <= nums[right]) {
left = mid + 1;
} else {
right = mid - 1;
}
}
}
return false;
}
}Try It Yourself
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