Given an array nums of n integers, return an array of all the unique quadruplets [nums[a], nums[b], nums[c], nums[d]] such that:
0 <= a, b, c, d < na,b,c, anddare distinct.nums[a] + nums[b] + nums[c] + nums[d] == target
You may return the answer in any order.
Example 1:
Input: nums = [1,0,-1,0,-2,2], target = 0 Output: [[-2,-1,1,2],[-2,0,0,2],[-1,0,0,1]]
Example 2:
Input: nums = [2,2,2,2,2], target = 8 Output: [[2,2,2,2]]
Constraints:
1 <= nums.length <= 200-109 <= nums[i] <= 109-109 <= target <= 109
Approach 01: Sorting and Two Pointers
class Solution {
public:
vector> fourSum(vector& nums, int target) {
sort(nums.begin(), nums.end());
vector> res;
int n = nums.size();
for (int i = 0; i < n - 3; i++) {
if (i > 0 && nums[i] == nums[i-1]) continue;
for (int j = i + 1; j < n - 2; j++) {
if (j > i + 1 && nums[j] == nums[j-1]) continue;
int left = j + 1, right = n - 1;
while (left < right) {
long long sum = (long long)nums[i] + nums[j] + nums[left] + nums[right];
if (sum == target) {
res.push_back({nums[i], nums[j], nums[left], nums[right]});
while (left < right && nums[left] == nums[left+1]) left++;
while (left < right && nums[right] == nums[right-1]) right--;
left++;
right--;
} else if (sum < target) left++;
else right--;
}
}
}
return res;
}
};
Time Complexity:
- O(n³): Two nested loops and a two-pointer pass.
Space Complexity:
- O(log n) to O(n): Depending on the sorting implementation.
class Solution:
def fourSum(self, nums: List[int], target: int) -> List[List[int]]:
nums.sort()
res = []
n = len(nums)
for i in range(n - 3):
if i > 0 and nums[i] == nums[i-1]:
continue
for j in range(i + 1, n - 2):
if j > i + 1 and nums[j] == nums[j-1]:
continue
left, right = j + 1, n - 1
while left < right:
s = nums[i] + nums[j] + nums[left] + nums[right]
if s == target:
res.append([nums[i], nums[j], nums[left], nums[right]])
while left < right and nums[left] == nums[left+1]:
left += 1
while left < right and nums[right] == nums[right-1]:
right -= 1
left += 1
right -= 1
elif s < target:
left += 1
else:
right -= 1
return res
Time Complexity:
- O(n³): Two nested loops and a two-pointer pass.
Space Complexity:
- O(log n) to O(n): Depending on the sorting implementation.
class Solution {
public List> fourSum(int[] nums, int target) {
Arrays.sort(nums);
List> res = new ArrayList<>();
int n = nums.length;
for (int i = 0; i < n - 3; i++) {
if (i > 0 && nums[i] == nums[i - 1]) continue;
for (int j = i + 1; j < n - 2; j++) {
if (j > i + 1 && nums[j] == nums[j - 1]) continue;
int left = j + 1, right = n - 1;
while (left < right) {
long sum = (long)nums[i] + nums[j] + nums[left] + nums[right];
if (sum == target) {
res.add(Arrays.asList(nums[i], nums[j], nums[left], nums[right]));
while (left < right && nums[left] == nums[left + 1]) left++;
while (left < right && nums[right] == nums[right - 1]) right--;
left++;
right--;
} else if (sum < target) left++;
else right--;
}
}
}
return res;
}
}
Time Complexity:
- O(n³): Two nested loops and a two-pointer pass.
Space Complexity:
- O(log n) to O(n): Depending on the sorting implementation.