Given an integer array nums, return all the triplets [nums[i], nums[j], nums[k]] such that i != j, i != k, and j != k, and nums[i] + nums[j] + nums[k] == 0.
Notice that the solution set must not contain duplicate triplets.
Example 1:
Input: nums = [-1,0,1,2,-1,-4] Output: [[-1,-1,2],[-1,0,1]] Explanation: nums[0] + nums[1] + nums[2] = (-1) + 0 + 1 = 0. nums[1] + nums[2] + nums[4] = 0 + 1 + (-1) = 0. nums[0] + nums[3] + nums[4] = (-1) + 2 + (-1) = 0. The distinct triplets are [-1,0,1] and [-1,-1,2]. Notice that the order of the output and the order of the triplets does not matter.
Example 2:
Input: nums = [0,1,1] Output: [] Explanation: The only possible triplet does not sum up to 0.
Example 3:
Input: nums = [0,0,0] Output: [[0,0,0]] Explanation: The only possible triplet sums up to 0.
Constraints:
3 <= nums.length <= 3000-105 <= nums[i] <= 105
Approach 01: Sorting and Two Pointers
class Solution {
public:
vector> threeSum(vector& nums) {
sort(nums.begin(), nums.end());
vector> res;
for (int i = 0; i < nums.size(); i++) {
if (i > 0 && nums[i] == nums[i-1]) continue;
int left = i + 1, right = nums.size() - 1;
while (left < right) {
int sum = nums[i] + nums[left] + nums[right];
if (sum == 0) {
res.push_back({nums[i], 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 < 0) left++;
else right--;
}
}
return res;
}
};
Time Complexity:
- O(n²): Sorting takes
O(n log n), and the nested loops takeO(n²).
Space Complexity:
- O(log n) to O(n): Depending on the sorting implementation.
class Solution:
def threeSum(self, nums: List[int]) -> List[int]:
nums.sort()
res = []
for i in range(len(nums)):
if i > 0 and nums[i] == nums[i-1]:
continue
left, right = i + 1, len(nums) - 1
while left < right:
s = nums[i] + nums[left] + nums[right]
if s == 0:
res.append([nums[i], 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 < 0:
left += 1
else:
right -= 1
return res
Time Complexity:
- O(n²): Sorting takes
O(n log n), and the nested loops takeO(n²).
Space Complexity:
- O(log n) to O(n): Depending on the sorting implementation.
class Solution {
public List> threeSum(int[] nums) {
Arrays.sort(nums);
List> res = new ArrayList<>();
for (int i = 0; i < nums.length; i++) {
if (i > 0 && nums[i] == nums[i - 1]) continue;
int left = i + 1, right = nums.length - 1;
while (left < right) {
int sum = nums[i] + nums[left] + nums[right];
if (sum == 0) {
res.add(Arrays.asList(nums[i], 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 < 0) left++;
else right--;
}
}
return res;
}
}
Time Complexity:
- O(n²): Sorting takes
O(n log n), and the nested loops takeO(n²).
Space Complexity:
- O(log n) to O(n): Depending on the sorting implementation.