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DSA Javaprogramming~3 mins

Why Three Sum Problem All Unique Triplets in DSA Java?

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The Big Idea

What if you could find all zero-sum triplets in seconds instead of hours?

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 sorting and smart searching to quickly find all unique groups of three numbers that add up to zero without repeating. This saves time and avoids mistakes.

Before vs After
✗ Before
for (int i = 0; i < nums.length; i++) {
  for (int j = i + 1; j < nums.length; j++) {
    for (int k = j + 1; k < nums.length; k++) {
      if (nums[i] + nums[j] + nums[k] == 0) {
        // print triplet
      }
    }
  }
}
✓ After
Arrays.sort(nums);
for (int i = 0; i < nums.length - 2; i++) {
  if (i > 0 && nums[i] == nums[i - 1]) continue;
  int left = i + 1, right = nums.length - 1;
  while (left < right) {
    int sum = nums[i] + nums[left] + nums[right];
    if (sum == 0) {
      // add triplet
      left++; right--;
      while (left < right && nums[left] == nums[left - 1]) left++;
      while (left < right && nums[right] == nums[right + 1]) right--;
    } else if (sum < 0) left++;
    else right--;
  }
}
What It Enables

This method lets you quickly find all unique sets of three numbers that sum to zero, even in large lists, without missing or repeating any.

Real Life Example

Finding three products whose prices balance out to zero discount or cost adjustment in a shopping app.

Key Takeaways

Manual checking is slow and error-prone.

Sorting and two-pointer technique speeds up the search.

Ensures all unique triplets are found without duplicates.

Practice

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

    The goal is to find triplets (three numbers) that add up exactly to zero without duplicates.
  3. Final Answer:

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

    Three Sum Problem = Find triplets summing to zero [OK]
Hint: Look for three numbers adding to zero without repeats [OK]
Common Mistakes:
  • Thinking it finds pairs instead of triplets
  • Assuming it sorts the array only
  • Looking for maximum sum instead of zero sum
2. Which of the following Java code snippets correctly initializes an array to be used for solving the Three Sum Problem?
easy
A. int[] nums = (-1, 0, 1, 2, -1, -4);
B. int nums = {-1, 0, 1, 2, -1, -4};
C. int nums[] = new int(-1, 0, 1, 2, -1, -4);
D. int[] nums = new int[]{-1, 0, 1, 2, -1, -4};

Solution

  1. Step 1: Check Java array initialization syntax

    In Java, arrays are initialized with new int[]{...} or directly with curly braces during declaration.
  2. Step 2: Validate each option

    int[] nums = new int[]{-1, 0, 1, 2, -1, -4}; uses correct syntax: int[] nums = new int[]{-1, 0, 1, 2, -1, -4};. Others have syntax errors.
  3. Final Answer:

    int[] nums = new int[]{-1, 0, 1, 2, -1, -4}; -> Option D
  4. Quick Check:

    Correct Java array syntax = int[] nums = new int[]{-1, 0, 1, 2, -1, -4}; [OK]
Hint: Use new int[]{...} to initialize arrays in Java [OK]
Common Mistakes:
  • Using parentheses instead of braces
  • Missing 'new' keyword
  • Declaring array without type
3. What will be the output of the following Java code snippet that attempts to find unique triplets summing to zero?
import java.util.*;
public class ThreeSum {
  public static List threeSum(int[] nums) {
    List res = new ArrayList<>();
    Arrays.sort(nums);
    for (int i = 0; i < nums.length - 2; i++) {
      if (i > 0 && nums[i] == nums[i - 1]) continue;
      int left = i + 1, right = nums.length - 1;
      while (left < right) {
        int sum = nums[i] + nums[left] + nums[right];
        if (sum == 0) {
          res.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 (sum < 0) left++;
        else right--;
      }
    }
    return res;
  }
  public static void main(String[] args) {
    int[] nums = {-1, 0, 1, 2, -1, -4};
    System.out.println(threeSum(nums));
  }
}
medium
A. [[-1, -1, 2], [-1, 0, 1]]
B. [[0, 1, 2], [-1, -1, 2]]
C. [[-4, 2, 2], [-1, 0, 1]]
D. [[-1, 0, 1], [0, 1, 2]]

Solution

  1. Step 1: Sort and iterate through the array

    The array after sorting is [-4, -1, -1, 0, 1, 2]. The code skips duplicates and uses two pointers to find triplets summing to zero.
  2. Step 2: Identify unique triplets summing to zero

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

    [[-1, -1, 2], [-1, 0, 1]] -> Option A
  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 array before two-pointer approach
  • Including duplicate triplets
  • Incorrect pointer movement causing wrong sums
4. Identify the bug in the following Java code snippet for the Three Sum Problem and select the correct fix:
public List threeSum(int[] nums) {
  List res = new ArrayList<>();
  Arrays.sort(nums);
  for (int i = 0; i < nums.length - 2; i++) {
    if (nums[i] == nums[i + 1]) continue;
    int left = i + 1, right = nums.length - 1;
    while (left < right) {
      int sum = nums[i] + nums[left] + nums[right];
      if (sum == 0) {
        res.add(Arrays.asList(nums[i], nums[left], nums[right]));
        left++;
        right--;
      } else if (sum < 0) left++;
      else right--;
    }
  }
  return res;
}
medium
A. Remove the sorting step Arrays.sort(nums);
B. Change if (nums[i] == nums[i + 1]) continue; to if (i > 0 && nums[i] == nums[i - 1]) continue;
C. Change while (left < right) to while (left <= right)
D. Add left++ and right-- after the while loop

Solution

  1. Step 1: Identify the duplicate skipping condition

    The code incorrectly checks nums[i] == nums[i + 1] which can cause index out of bounds and wrong duplicate skipping.
  2. Step 2: Correct duplicate skipping logic

    The correct check is if (i > 0 && nums[i] == nums[i - 1]) continue; to skip duplicates properly without errors.
  3. Final Answer:

    Change if (nums[i] == nums[i + 1]) continue; to if (i > 0 && nums[i] == nums[i - 1]) continue; -> Option B
  4. Quick Check:

    Proper duplicate skip check = Change if (nums[i] == nums[i + 1]) continue; to if (i > 0 && nums[i] == nums[i - 1]) continue; [OK]
Hint: Skip duplicates by comparing current with previous element [OK]
Common Mistakes:
  • Checking next element instead of previous for duplicates
  • Not sorting array before duplicate check
  • Incorrect pointer conditions causing infinite loops
5. Given an array nums = [0, 0, 0, 0], what is the correct output of the Three Sum Problem algorithm that finds all unique triplets summing to zero?
hard
A. [[0, 0, 0]]
B. [[0, 0, 0], [0, 0, 0]]
C. []
D. [[0, 0]]

Solution

  1. Step 1: Understand the input array with duplicates

    The array has four zeros. The algorithm must find unique triplets summing to zero.
  2. Step 2: Identify unique triplets

    Only one unique triplet exists: [0, 0, 0]. Duplicates are skipped to avoid repeated triplets.
  3. Final Answer:

    [[0, 0, 0]] -> Option A
  4. Quick Check:

    Unique zero triplet = [[0, 0, 0]] [OK]
Hint: One triplet of zeros regardless of duplicates [OK]
Common Mistakes:
  • Returning multiple identical triplets
  • Returning empty list thinking no sum possible
  • Returning pairs instead of triplets
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