Three Sum Problem
Problem and examples
Given an array of integers, your task is to find all the unique triplets (a, b, c) in the array such that:
a + b + c = 0(the sum of the three elements is zero)- Each triplet should be returned in sorted order and must be unique (i.e., no duplicate triplets in the result)
If no such triplets exist, return an empty list.
| Input Array | Output Triplets | Description |
|---|---|---|
| [-1, 0, 1, 2, -1, -4] | [[-1, -1, 2], [-1, 0, 1]] | Two unique triplets sum up to 0 |
| [0, 1, 1] | [] | No triplet sums to zero |
| [0, 0, 0] | [[0, 0, 0]] | Three zeroes sum to zero, one valid triplet |
| [3, -2, 1, 0] | [[-2, -1, 3]] | Triplet [-2, -1, 3] gives zero |
| [1, -1] | [] | Only two elements, not enough for a triplet |
| [] | [] | Empty input, return empty list |
| [-2, 0, 1, 1, 2] | [[-2, 0, 2], [-2, 1, 1]] | Two triplets, handles duplicates correctly |
Explore Find All Unique Triplets That Sum to Zero
Load an example or enter your own input. Use the player controls to follow each change.
Understanding the Problem
The Three Sum problem asks us to find all unique triplets in an array such that the sum of the three numbers is zero. In other words, we need to find all combinations of three numbers (a, b, c) from the array where a + b + c = 0.
It’s important to avoid returning duplicate triplets. For example, [-1, 0, 1] and [0, -1, 1] are considered the same triplet and should appear only once in the output.
We are going to solve this step-by-step, with a beginner-friendly explanation, and handle all edge cases carefully.
Step-by-Step Solution Using an Example
Let’s take the example array: [-1, 0, 1, 2, -1, -4]
Step 1: Sort the Array
We start by sorting the array. This helps in skipping duplicates and using the two-pointer method effectively.
Sorted array: [-4, -1, -1, 0, 1, 2]
Step 2: Fix One Element and Use Two Pointers
We loop through each element (let’s call the index i) and treat it as the first element of a potential triplet.
Then, we use two pointers: left starting from i + 1 and right starting from the end of the array.
We calculate the sum of the elements at positions i, left, and right and act based on the result:
- If the sum is zero: we’ve found a valid triplet. Add it to the result.
- If the sum is less than zero: we need a bigger number, so we move the
leftpointer forward. - If the sum is more than zero: we need a smaller number, so we move the
rightpointer backward.
Step 3: Skip Duplicates
To avoid duplicate triplets:
- Skip repeated values at the
iposition. - After finding a valid triplet, skip repeated values at
leftandrightpositions.
Example Walkthrough
Let’s go through the sorted array step by step:
- i = 0: value = -4, left = 1 (-1), right = 5 (2) → sum = -3 → move left
- left = 2 (-1), right = 5 (2) → sum = -3 → move left
- left = 3 (0), right = 5 (2) → sum = -2 → move left
- left = 4 (1), right = 5 (2) → sum = -1 → move left
- i = 1: value = -1, left = 2 (-1), right = 5 (2) → sum = 0 → valid triplet [-1, -1, 2]
- Skip duplicate -1 at left, move left → left = 3 (0), right = 4 (1) → sum = 0 → valid triplet [-1, 0, 1]
- i = 2: value = -1 (duplicate), skip
- i = 3: value = 0, left = 4 (1), right = 5 (2) → sum = 3 → move right
Final result: [[-1, -1, 2], [-1, 0, 1]]
Handling Edge Cases
- Less than 3 elements: No triplets possible, return an empty list.
- All zeros: If the array is like
[0, 0, 0, 0], return[[0, 0, 0]]only once. - Empty array: Return an empty list.
- Duplicates: Skip over duplicate values during iteration to prevent redundant triplets.
Why This Approach Works
This method uses sorting + two pointers and avoids brute-force triplet checking. The time complexity is O(n²) compared to O(n³) in brute-force, making it efficient for larger inputs.
- Given an array
arrof integers. - Sort the array in ascending order.
- Traverse the array with index
ifrom 0 ton-2: - → If
i > 0andarr[i] == arr[i-1], skip to avoid duplicates. - → Initialize two pointers:
left = i + 1andright = n - 1. - → While
left < right: - → → Calculate the sum:
arr[i] + arr[left] + arr[right]. - → → If sum is zero, add triplet to result and move
leftandrightto skip duplicates. - → → If sum < 0, move
leftforward. - → → If sum > 0, move
rightbackward. - Return the list of unique triplets.
Implementation and efficiency
C implementation
#include <stdio.h>
#include <stdlib.h>
int cmp(const void *a, const void *b) {
return (*(int*)a - *(int*)b);
}
void threeSum(int* nums, int n) {
qsort(nums, n, sizeof(int), cmp);
for (int i = 0; i < n - 2; i++) {
if (i > 0 && nums[i] == nums[i-1]) continue;
int left = i + 1, right = n - 1;
while (left < right) {
int total = nums[i] + nums[left] + nums[right];
if (total == 0) {
printf("[%d, %d, %d]\n", 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 (total < 0) {
left++;
} else {
right--;
}
}
}
}
int main() {
int arr[] = {-1, 0, 1, 2, -1, -4};
int n = sizeof(arr) / sizeof(arr[0]);
printf("Triplets:\n");
threeSum(arr, n);
return 0;
}C++ implementation
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
vector<vector<int>> threeSum(vector<int>& nums) {
sort(nums.begin(), nums.end());
vector<vector<int>> result;
int n = nums.size();
for (int i = 0; i < n - 2; i++) {
if (i > 0 && nums[i] == nums[i-1]) continue;
int left = i + 1, right = n - 1;
while (left < right) {
int total = nums[i] + nums[left] + nums[right];
if (total == 0) {
result.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 (total < 0) {
left++;
} else {
right--;
}
}
}
return result;
}
int main() {
vector<int> arr = {-1, 0, 1, 2, -1, -4};
vector<vector<int>> res = threeSum(arr);
cout << "Triplets:\n";
for (auto triplet : res) {
cout << "[";
for (auto num : triplet) {
cout << num << " ";
}
cout << "]\n";
}
return 0;
}Python implementation
def three_sum(nums):
nums.sort()
result = []
n = len(nums)
for i in range(n - 2):
if i > 0 and nums[i] == nums[i - 1]:
continue
left, right = i + 1, n - 1
while left < right:
total = nums[i] + nums[left] + nums[right]
if total == 0:
result.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 total < 0:
left += 1
else:
right -= 1
return result
arr = [-1, 0, 1, 2, -1, -4]
print("Triplets:", three_sum(arr))Java implementation
import java.util.*;
public class ThreeSum {
public static List<List<Integer>> threeSum(int[] nums) {
Arrays.sort(nums);
List<List<Integer>> result = new ArrayList<>();
int n = nums.length;
for (int i = 0; i < n - 2; i++) {
if (i > 0 && nums[i] == nums[i - 1]) continue;
int left = i + 1, right = n - 1;
while (left < right) {
int total = nums[i] + nums[left] + nums[right];
if (total == 0) {
result.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 (total < 0) {
left++;
} else {
right--;
}
}
}
return result;
}
public static void main(String[] args) {
int[] arr = {-1, 0, 1, 2, -1, -4};
System.out.println("Triplets: " + threeSum(arr));
}
}JavaScript implementation
function threeSum(nums) {
nums.sort((a, b) => a - b);
const result = [];
const n = nums.length;
for (let i = 0; i < n - 2; i++) {
if (i > 0 && nums[i] === nums[i - 1]) continue;
let left = i + 1, right = n - 1;
while (left < right) {
const total = nums[i] + nums[left] + nums[right];
if (total === 0) {
result.push([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 (total < 0) {
left++;
} else {
right--;
}
}
}
return result;
}
const arr = [-1, 0, 1, 2, -1, -4];
console.log("Triplets:", threeSum(arr));Go implementation
package main
import (
"fmt"
"sort"
)
func threeSum(nums []int) [][]int {
sort.Ints(nums)
var result [][]int
n := len(nums)
for i := 0; i < n-2; i++ {
if i > 0 && nums[i] == nums[i-1] {
continue
}
left, right := i+1, n-1
for left < right {
total := nums[i] + nums[left] + nums[right]
if total == 0 {
result = append(result, []int{nums[i], nums[left], nums[right]})
for left < right && nums[left] == nums[left+1] {
left++
}
for left < right && nums[right] == nums[right-1] {
right--
}
left++
right--
} else if total < 0 {
left++
} else {
right--
}
}
}
return result
}
func main() {
arr := []int{-1, 0, 1, 2, -1, -4}
fmt.Println("Triplets:", threeSum(arr))
}Rust implementation
fn three_sum(mut nums: Vec<i32>) -> Vec<Vec<i32>> {
nums.sort();
let n = nums.len();
let mut result = Vec::new();
for i in 0..n-2 {
if i > 0 && nums[i] == nums[i - 1] {
continue;
}
let (mut left, mut right) = (i + 1, n - 1);
while left < right {
let total = nums[i] + nums[left] + nums[right];
if total == 0 {
result.push(vec![nums[i], nums[left], nums[right]]);
while left < right && nums[left] == nums[left + 1] {
left += 1;
}
while left < right && nums[right] == nums[right - 1] {
right -= 1;
}
left += 1;
right -= 1;
} else if total < 0 {
left += 1;
} else {
right -= 1;
}
}
}
result
}
fn main() {
let arr = vec![-1, 0, 1, 2, -1, -4];
println!("Triplets: {:?}", three_sum(arr));
}Kotlin implementation
fun threeSum(nums: IntArray): List<List<Int>> {
nums.sort()
val result = mutableListOf<List<Int>>()
val n = nums.size
for (i in 0 until n - 2) {
if (i > 0 && nums[i] == nums[i - 1]) continue
var left = i + 1
var right = n - 1
while (left < right) {
val total = nums[i] + nums[left] + nums[right]
when {
total == 0 -> {
result.add(listOf(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--
}
total < 0 -> left++
else -> right--
}
}
}
return result
}
fun main() {
val arr = intArrayOf(-1, 0, 1, 2, -1, -4)
println("Triplets: ${threeSum(arr)}")
}Swift implementation
import Foundation
func threeSum(_ nums: [Int]) -> [[Int]] {
let nums = nums.sorted()
var result: [[Int]] = []
let n = nums.count
for i in 0..<n-2 {
if i > 0 && nums[i] == nums[i - 1] { continue }
var left = i + 1, right = n - 1
while left < right {
let total = nums[i] + nums[left] + nums[right]
if total == 0 {
result.append([nums[i], nums[left], nums[right]])
while left < right && nums[left] == nums[left + 1] { left += 1 }
while left < right && nums[right] == nums[right - 1] { right -= 1 }
left += 1
right -= 1
} else if total < 0 {
left += 1
} else {
right -= 1
}
}
}
return result
}
let arr = [-1, 0, 1, 2, -1, -4]
print("Triplets:", threeSum(arr))TypeScript implementation
function threeSum(nums: number[]): number[][] {
nums.sort((a, b) => a - b);
const result: number[][] = [];
const n = nums.length;
for (let i = 0; i < n - 2; i++) {
if (i > 0 && nums[i] === nums[i - 1]) continue;
let left = i + 1, right = n - 1;
while (left < right) {
const total = nums[i] + nums[left] + nums[right];
if (total === 0) {
result.push([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 (total < 0) {
left++;
} else {
right--;
}
}
}
return result;
}
const arr: number[] = [-1, 0, 1, 2, -1, -4];
console.log("Triplets:", threeSum(arr));Time complexity
| Case | Time | Explanation |
|---|---|---|
| best case | O(n^2) | In the best case, the input is small or contains many duplicate values that allow early skips, but the dominant term is still the nested loop structure with two pointers. |
| average case | O(n^2) | We sort the array in O(n log n) and then use a loop with a two-pointer technique inside, which takes O(n^2) in total. |
| worst case | O(n^2) | Even in the worst case with no duplicate skipping and all combinations needing to be checked, the time complexity remains O(n^2) due to the nested traversal using two pointers. |
Space complexity
O(1)
The algorithm uses constant extra space apart from the output list. Sorting is done in-place and only a few variables (i, left, right) are used.