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DSA Javascriptprogramming~3 mins

Why Three Sum Problem All Unique Triplets in DSA Javascript?

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The Big Idea

Discover how a clever trick turns a slow, tiring task into a fast, reliable solution!

The Scenario

Imagine you have a list of numbers and you want to find all groups of three numbers that add up to zero. Doing this by hand means checking every possible group of three numbers one by one.

The Problem

Checking every group manually is very slow and tiring because the number of groups grows very fast as the list gets bigger. It's easy to miss some groups or count the same group more than once.

The Solution

The Three Sum Problem solution uses a smart way to sort the list and then move through it with two pointers to quickly find all unique groups of three numbers that add to zero without repeating any group.

Before vs After
✗ Before
for (let i = 0; i < nums.length; i++) {
  for (let j = i + 1; j < nums.length; j++) {
    for (let k = j + 1; k < nums.length; k++) {
      if (nums[i] + nums[j] + nums[k] === 0) {
        console.log([nums[i], nums[j], nums[k]]);
      }
    }
  }
}
✓ After
nums.sort((a, b) => a - b);
for (let i = 0; i < nums.length - 2; i++) {
  if (i > 0 && nums[i] === nums[i - 1]) continue;
  let left = i + 1, right = nums.length - 1;
  while (left < right) {
    const sum = nums[i] + nums[left] + nums[right];
    if (sum === 0) {
      console.log([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--;
  }
}
What It Enables

This method lets you quickly find all unique triplets that sum to zero, even in large lists, without missing or repeating any group.

Real Life Example

Finding three expenses that together balance out to zero in a financial report, helping to spot errors or fraud.

Key Takeaways

Manual checking is slow and error-prone for finding triplets.

Sorting and two-pointer technique speeds up the search and avoids duplicates.

This approach works well even for large lists.

Practice

(1/5)
1. What is the main goal of the Three Sum Problem in algorithms?
easy
A. Find all unique triplets in an array that sum to zero
B. Sort the array in ascending order
C. Find the maximum sum of any three elements
D. Count the number of pairs that sum to zero

Solution

  1. Step 1: Understand the problem statement

    The Three Sum Problem asks to find all unique sets of three numbers in an array whose sum is zero.
  2. Step 2: Differentiate from other sum problems

    Unlike sorting or pair sums, this problem specifically targets triplets summing to zero without duplicates.
  3. Final Answer:

    Find all unique triplets in an array that sum to zero -> Option A
  4. Quick Check:

    Three Sum Problem = Find unique triplets summing to zero [OK]
Hint: Look for three numbers adding to zero without repeats [OK]
Common Mistakes:
  • Confusing with pair sum problems
  • Thinking it requires sorting only
  • Looking for max sum instead of zero sum
2. Which of the following is the correct way to start sorting an array nums in JavaScript before solving the Three Sum Problem?
easy
A. nums.sort()
B. nums.sorted()
C. nums.sort((a, b) => b - a)
D. nums.sort((a, b) => a - b)

Solution

  1. Step 1: Understand JavaScript sort behavior

    By default, sort() converts elements to strings and sorts lexicographically, which is incorrect for numbers.
  2. Step 2: Use numeric comparator for ascending order

    Using nums.sort((a, b) => a - b) sorts numbers correctly in ascending order, which is needed for the algorithm.
  3. Final Answer:

    nums.sort((a, b) => a - b) -> Option D
  4. Quick Check:

    Numeric ascending sort = nums.sort((a, b) => a - b) [OK]
Hint: Use comparator (a, b) => a - b for numeric ascending sort [OK]
Common Mistakes:
  • Using default sort() without comparator
  • Using descending sort when ascending needed
  • Using non-existent method sorted()
3. What will be the output of the following code snippet?
function threeSum(nums) {
  nums.sort((a, b) => a - b);
  const result = [];
  for (let i = 0; i < nums.length - 2; i++) {
    if (i > 0 && nums[i] === nums[i - 1]) continue;
    let left = i + 1, right = nums.length - 1;
    while (left < right) {
      const sum = nums[i] + nums[left] + nums[right];
      if (sum === 0) {
        result.push([nums[i], nums[left], nums[right]]);
        while (nums[left] === nums[left + 1]) left++;
        while (nums[right] === nums[right - 1]) right--;
        left++;
        right--;
      } else if (sum < 0) {
        left++;
      } else {
        right--;
      }
    }
  }
  return result;
}

console.log(threeSum([-1,0,1,2,-1,-4]));
medium
A. [[-1, 0, 1], [0, 1, 2]]
B. [[-1, -1, 2], [-1, 0, 1]]
C. [[-4, 2, 2], [-1, 0, 1]]
D. [[0, 0, 0]]

Solution

  1. Step 1: Sort the array

    Sorted array is [-4, -1, -1, 0, 1, 2].
  2. Step 2: Find unique triplets summing to zero

    Triplets found are [-1, -1, 2] and [-1, 0, 1]. These are pushed to result.
  3. Final Answer:

    [[-1, -1, 2], [-1, 0, 1]] -> Option B
  4. Quick Check:

    Unique triplets summing zero = [[-1,-1,2],[-1,0,1]] [OK]
Hint: Sort array, use two pointers to find zero sum triplets [OK]
Common Mistakes:
  • Not sorting before two-pointer approach
  • Including duplicate triplets
  • Incorrect pointer movement logic
4. Identify the bug in this Three Sum implementation snippet:
function threeSum(nums) {
  nums.sort((a, b) => a - b);
  const result = [];
  for (let i = 0; i < nums.length - 2; i++) {
    if (nums[i] === nums[i - 1]) continue;
    let left = i + 1, right = nums.length - 1;
    while (left < right) {
      const sum = nums[i] + nums[left] + nums[right];
      if (sum === 0) {
        result.push([nums[i], nums[left], nums[right]]);
        while (nums[left] === nums[left + 1]) left++;
        while (nums[right] === nums[right - 1]) right--;
        left++;
        right--;
      } else if (sum < 0) {
        left++;
      } else {
        right--;
      }
    }
  }
  return result;
}
medium
A. The duplicate check for nums[i] should skip when i > 0
B. The sorting comparator is incorrect
C. The pointers left and right are not updated
D. The result array is not initialized

Solution

  1. Step 1: Check duplicate skipping condition

    The condition if (nums[i] === nums[i - 1]) continue; runs even when i = 0, causing incorrect skipping.
  2. Step 2: Correct condition to skip duplicates only if i > 0

    It should be if (i > 0 && nums[i] === nums[i - 1]) continue; to avoid skipping first element.
  3. Final Answer:

    The duplicate check for nums[i] should skip when i > 0 -> Option A
  4. Quick Check:

    Duplicate skip needs i > 0 check [OK]
Hint: Check index bounds when skipping duplicates [OK]
Common Mistakes:
  • Skipping duplicates without index check
  • Wrong sorting comparator
  • Forgetting to update pointers
5. Given the array nums = [3, 0, -2, -1, 1, 2], which of the following is the correct set of unique triplets that sum to zero?
hard
A. [[-2, 2, 3], [-1, 0, 1]]
B. [[-2, -1, 3], [-1, 1, 2]]
C. [[-2, -1, 3], [-2, 0, 2], [-1, 0, 1]]
D. [[0, 0, 0], [-1, 1, 0]]

Solution

  1. Step 1: Sort the array

    Sorted array is [-2, -1, 0, 1, 2, 3].
  2. Step 2: Find all unique triplets summing to zero

    Triplets are [-2, -1, 3], [-2, 0, 2], and [-1, 0, 1].
  3. Final Answer:

    [[-2, -1, 3], [-2, 0, 2], [-1, 0, 1]] -> Option C
  4. Quick Check:

    Sorted + two pointers find unique zero sum triplets [OK]
Hint: Sort and use two pointers to find all zero sum triplets [OK]
Common Mistakes:
  • Missing some triplets
  • Including duplicates
  • Incorrect triplet sums
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