Description
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 <= 3000-10^5 <= nums[i] <= 10^5
Approach
- Sort the array and start first loop then perform 2 Sum of sorted array let’s say a, b, c
- For Optimization if a is positive then sum = 0 cannot be achieved as this is sorted now
- Next Optimization for duplicate is you check if current equals current-1 then move pointer to right
- Using
LinkedListcould be faster as it takes O(1) for add and remove element as compared toArrayListO(n) Time: O(n^2) Space: O(1)- Sorting takes
O(nlogn)but since it is loop inside loop soO(n^2)triumphs - Space complexity could be
O(n)depending on sorting logic
class Solution {
public List<List<Integer>> threeSum(int[] nums) {
List<List<Integer>> ans = new LinkedList<List<Integer>>();
Arrays.sort(nums);
for (int i = 0; i < nums.length - 2; i++) {
int a = nums[i];
if(a > 0) //sorted array so no more solutions
continue; //can be replaced with break;
if (i > 0 && a == nums[i-1])
continue; //skip duplicates
int l = i + 1, r = nums.length - 1;
while (l < r) {
int sum = a + nums[l] + nums[r];
if (sum < 0)
l++;
else if (sum > 0)
r--;
else {
ans.add(List.of(a, nums[l], nums[r]));
l++;
r--;
while(nums[l] == nums[l-1] && l < r)
l++; //skip duplicates
}
}
}
return ans;
}
}