Given an integer array nums, return all triplets [nums[i], nums[j], nums[k]] such that i != j, i != k, j != k, and nums[i] + nums[j] + nums[k] == 0. The solution set must not contain duplicate triplets.

Input: nums = [-1,0,1,2,-1,-4]
Output: [[-1,-1,2],[-1,0,1]]
Input: nums = [0,1,1]
Output: []
Input: nums = [0,0,0]
Output: [[0,0,0]]
Constraints:

Contents

Brute Force O(n³)

Try all combinations of three indices and collect those that sum to zero. Use a Set to deduplicate.

public List<List<Integer>> threeSum(int[] nums) { Set<List<Integer>> result = new HashSet<>(); int n = nums.length; for (int i = 0; i < n - 2; i++) { for (int j = i + 1; j < n - 1; j++) { for (int k = j + 1; k < n; k++) { if (nums[i] + nums[j] + nums[k] == 0) { List<Integer> triplet = Arrays.asList(nums[i], nums[j], nums[k]); Collections.sort(triplet); result.add(triplet); } } } } return new ArrayList<>(result); } // Time: O(n³), Space: O(n)
Sort + Two Pointers O(n²)

Fix one element at index i, then run a two-pointer search for the remaining two elements in the sorted array. Skip duplicate values at each level to avoid duplicate triplets.

Implementation steps:
public List<List<Integer>> threeSum(int[] nums) { Arrays.sort(nums); List<List<Integer>> result = new ArrayList<>(); for (int i = 0; i < nums.length - 2; i++) { if (i > 0 && nums[i] == nums[i - 1]) continue; // skip duplicate pivot if (nums[i] > 0) break; // sorted: no triplet can sum to 0 int left = i + 1, right = nums.length - 1; while (left < right) { int sum = nums[i] + nums[left] + nums[right]; if (sum == 0) { result.add(Arrays.asList(nums[i], nums[left], nums[right])); while (left < right && nums[left] == nums[left + 1]) left++; // skip dups while (left < right && nums[right] == nums[right - 1]) right--; // skip dups left++; right--; } else if (sum < 0) { left++; } else { right--; } } } return result; }
ApproachTimeSpace
Brute ForceO(n³)O(n)
Sort + Two PointersO(n²)O(1) extra (sort is in-place)