540. Single Element in a Sorted Array
Problem Description
You are given a sorted array consisting of only integers where every element appears exactly twice, except for one element which appears exactly once.
Return the single element that appears only once.
Your solution must run in O(log n) time and O(1) space.
Example 1:
Input: nums = [1,1,2,3,3,4,4,8,8]
Output: 2
Example 2:
Input: nums = [3,3,7,7,10,11,11]
Output: 10
Constraints:
1 <= nums.length <= 10⁵0 <= nums[i] <= 10⁵- Every element in
numsappears twice except for one element which appears once.
Solution
Python Solution
class Solution:
def singleNonDuplicate(self, nums: List[int]) -> int:
left, right = 0, len(nums) - 1
while left < right:
mid = left + (right - left) // 2
# Ensure mid is even
if mid % 2 == 1:
mid -= 1
# If pairs are aligned properly
if nums[mid] == nums[mid + 1]:
left = mid + 2
else:
right = mid
return nums[left]
Time Complexity: O(log n)
Using binary search to find the single element.
Space Complexity: O(1)
Only using a constant amount of extra space.
Java Solution
class Solution {
public int singleNonDuplicate(int[] nums) {
int left = 0, right = nums.length - 1;
while (left < right) {
int mid = left + (right - left) / 2;
// Ensure mid is even
if (mid % 2 == 1) {
mid--;
}
// If pairs are aligned properly
if (nums[mid] == nums[mid + 1]) {
left = mid + 2;
} else {
right = mid;
}
}
return nums[left];
}
}
Time Complexity: O(log n)
Using binary search to find the single element.
Space Complexity: O(1)
Only using a constant amount of extra space.
C++ Solution
class Solution {
public:
int singleNonDuplicate(vector& nums) {
int left = 0, right = nums.size() - 1;
while (left < right) {
int mid = left + (right - left) / 2;
// Ensure mid is even
if (mid % 2 == 1) {
mid--;
}
// If pairs are aligned properly
if (nums[mid] == nums[mid + 1]) {
left = mid + 2;
} else {
right = mid;
}
}
return nums[left];
}
};
Time Complexity: O(log n)
Using binary search to find the single element.
Space Complexity: O(1)
Only using a constant amount of extra space.
JavaScript Solution
/**
* @param {number[]} nums
* @return {number}
*/
var singleNonDuplicate = function(nums) {
let left = 0, right = nums.length - 1;
while (left < right) {
let mid = left + Math.floor((right - left) / 2);
// Ensure mid is even
if (mid % 2 === 1) {
mid--;
}
// If pairs are aligned properly
if (nums[mid] === nums[mid + 1]) {
left = mid + 2;
} else {
right = mid;
}
}
return nums[left];
};
Time Complexity: O(log n)
Using binary search to find the single element.
Space Complexity: O(1)
Only using a constant amount of extra space.
C# Solution
public class Solution {
public int SingleNonDuplicate(int[] nums) {
int left = 0, right = nums.Length - 1;
while (left < right) {
int mid = left + (right - left) / 2;
// Ensure mid is even
if (mid % 2 == 1) {
mid--;
}
// If pairs are aligned properly
if (nums[mid] == nums[mid + 1]) {
left = mid + 2;
} else {
right = mid;
}
}
return nums[left];
}
}
Time Complexity: O(log n)
Using binary search to find the single element.
Space Complexity: O(1)
Only using a constant amount of extra space.
Approach Explanation
The solution uses binary search with pattern observation:
- Key Insights:
- Array pattern
- Binary search
- Even-odd indices
- Pattern disruption
- Algorithm Steps:
- Initialize pointers
- Find mid point
- Check pattern
- Update bounds
Implementation Details:
- Binary search
- Index manipulation
- Pattern checking
- Boundary updates
Optimization Insights:
- Logarithmic time
- Constant space
- Early termination
- Efficient comparison
Edge Cases:
- Single element
- Element at start
- Element at end
- Middle element