15. 3Sum

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 take O(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 take O(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 take O(n²).

Space Complexity:

  • O(log n) to O(n): Depending on the sorting implementation.

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