3 Sum⚓︎
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
Solution⚓︎
Double Pointer Starter Way⚓︎
Time complexity: \(O(n^2)\)
Double Pointer Simpler Way⚓︎
Note: Why are we checking for nums[i] + nums[j] + nums[k-1]
in the while
loop, but nums[i] + nums[j] + nums[k]
when adding the result? This is because in the while
loop, if a k
has been found that makes the sum of the three elements less than 0, then the next k
(i.e., k-1
) must make the sum of the three elements smaller (because nums[k-1] <= nums[k]
). So, if nums[i] + nums[j] + nums[k-1]
is still greater than or equal to 0, then we need to keep decreasing k
. Then at the end of the while
loop, since we may have missed the k
that makes the sum of the three elements equal to 0, we finally check if nums[i] + nums[j] + nums[k] == 0
or not.
If we do not use k - 1
in that section, we can rewrite the code: