Why Four Sum Problem All Unique Quadruplets in DSA Java?

The Big Idea

What if you could find all groups of four numbers adding to a target without checking every single combination?

The Scenario

Imagine you have a list of numbers and you want to find all groups of four numbers that add up to a specific target. Doing this by checking every possible group by hand would take forever, especially if the list is long.

The Problem

Manually checking every combination means trying thousands or millions of groups. This is slow and easy to make mistakes. You might miss some groups or count the same group more than once.

The Solution

The Four Sum problem uses a smart way to find all unique groups of four numbers that add up to the target. It sorts the list and uses pointers to skip duplicates and quickly find the right groups without checking everything.

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++) {
      for (int l = k+1; l < nums.length; l++) {
        if (nums[i] + nums[j] + nums[k] + nums[l] == target) {
          // add quadruplet
        }
      }
    }
  }
}

✓ After

Arrays.sort(nums);
for (int i = 0; i < nums.length - 3; i++) {
  if (i > 0 && nums[i] == nums[i-1]) continue;
  for (int j = i + 1; j < nums.length - 2; j++) {
    if (j > i + 1 && nums[j] == nums[j-1]) continue;
    int left = j + 1, right = nums.length - 1;
    while (left < right) {
      int sum = nums[i] + nums[j] + nums[left] + nums[right];
      if (sum == target) {
        // add quadruplet
        left++; right--;
        while (left < right && nums[left] == nums[left-1]) left++;
        while (left < right && nums[right] == nums[right+1]) right--;
      } else if (sum < target) {
        left++;
      } else {
        right--;
      }
    }
  }
}

What It Enables

This method lets you quickly find all unique sets of four numbers that add up to your target, even in large lists, without missing or repeating groups.

Real Life Example

Suppose you want to find four products from a store that together cost exactly your gift card amount. This method helps find all such combinations fast and without repeats.

Key Takeaways

Manual checking of all quadruplets is slow and error-prone.

Sorting and using pointers skips duplicates and speeds up the search.

Efficiently finds all unique quadruplets that sum to the target.

Practice

1. What is the main goal of the Four Sum Problem in data structures and algorithms?

easy

A. Find all unique quadruplets in an array that sum up to a target value

B. Sort the array in ascending order

C. Find the maximum element in the array

D. Count the number of pairs that sum to a target

Solution

1. Step 1: Understand the problem statement

   The Four Sum Problem asks to find sets of four numbers in an array that add up to a given target.

2. Step 2: Identify the expected output

   We want all unique quadruplets, meaning no repeated sets, that sum exactly to the target.

3. Final Answer:

   Find all unique quadruplets in an array that sum up to a target value -> Option A

4. Quick Check:

   Four Sum = unique quadruplets summing to target [OK]

Hint: Look for four numbers adding to target without duplicates [OK]

Common Mistakes:

• Confusing Four Sum with Two Sum or Three Sum problems
• Ignoring uniqueness of quadruplets
• Trying to find maximum or minimum instead of sum

2. Which of the following Java code snippets correctly initializes an empty list to store quadruplets for the Four Sum problem?

easy

A. List quadruplets = new List<>();

B. List quadruplets = new ArrayList<>();

C. ArrayList<int> quadruplets = new ArrayList<>();

D. List<List> quadruplets = new ArrayList();

Solution

1. Step 1: Check Java syntax for list initialization

   Correct generic syntax for a list of lists of integers is List quadruplets = new ArrayList<>();

2. Step 2: Identify errors in other options

   List quadruplets = new List<>(); uses raw List without generics and wrong constructor; ArrayList<int> quadruplets = new ArrayList<>(); uses primitive int which is invalid; List<List> quadruplets = new ArrayList(); mixes generics incorrectly.

3. Final Answer:

   List quadruplets = new ArrayList<>(); -> Option B

4. Quick Check:

   Correct generic list initialization = List quadruplets = new ArrayList<>(); [OK]

Hint: Use List with ArrayList constructor [OK]

Common Mistakes:

• Using raw types without generics
• Trying to use primitive types in generics
• Incorrect constructor calls for List

3. What will be the output of the following Java code snippet for the Four Sum problem?

int[] nums = {1, 0, -1, 0, -2, 2};
int target = 0;
List result = fourSum(nums, target);
System.out.println(result);

Assuming fourSum correctly finds all unique quadruplets summing to target.

medium

A. [[-2, -1, 0, 1], [0, 0, 0, 0]]

B. [[1, 0, -1, 0]]

C. [[-2, -1, 1, 2], [-2, 0, 0, 2], [-1, 0, 0, 1]]

D. []

Solution

1. Step 1: Sort and find quadruplets summing to zero

   Sorted array: [-2, -1, 0, 0, 1, 2]. Quadruplets summing to 0 are [-2,-1,1,2], [-2,0,0,2], and [-1,0,0,1].

2. Step 2: Verify uniqueness and completeness

   All quadruplets are unique and sum exactly to target 0. No other quadruplets exist.

3. Final Answer:

   [[-2, -1, 1, 2], [-2, 0, 0, 2], [-1, 0, 0, 1]] -> Option C

4. Quick Check:

   Unique quadruplets sum to 0 = [[-2, -1, 1, 2], [-2, 0, 0, 2], [-1, 0, 0, 1]] [OK]

Hint: Sort array first, then find quadruplets with two pointers [OK]

Common Mistakes:

• Not sorting array before processing
• Including duplicate quadruplets
• Missing some valid quadruplets

4. Identify the bug in this Java snippet for the Four Sum problem:

for (int i = 0; i < nums.length - 3; i++) {
  for (int j = i + 1; j < nums.length - 2; j++) {
    int left = j + 1, right = nums.length - 1;
    while (left < right) {
      int sum = nums[i] + nums[j] + nums[left] + nums[right];
      if (sum == target) {
        result.add(Arrays.asList(nums[i], nums[j], nums[left], nums[right]));
        left++;
        right--;
      } else if (sum < target) {
        left++;
      } else {
        right--;
      }
    }
  }
}

medium

A. Sum calculation uses wrong indices

B. Incorrect initialization of left and right pointers

C. Wrong loop conditions for i and j

D. Missing checks to skip duplicate elements for i, j, left, and right

Solution

1. Step 1: Analyze loop and pointer usage

   Loops and pointers are correctly set to find quadruplets, and sum calculation is correct.

2. Step 2: Identify missing duplicate skipping

   Code lacks checks to skip duplicate values for i, j, left, and right after finding a quadruplet, which can cause duplicate quadruplets in result.

3. Final Answer:

   Missing checks to skip duplicate elements for i, j, left, and right -> Option D

4. Quick Check:

   Duplicate skipping missing = Missing checks to skip duplicate elements for i, j, left, and right [OK]

Hint: Always skip duplicates after adding quadruplet to avoid repeats [OK]

Common Mistakes:

• Not skipping duplicates causing repeated quadruplets
• Changing pointers incorrectly inside loops
• Incorrect loop boundaries causing index errors

5. Given the array nums = {2, 2, 2, 2, 2} and target 8, what is the correct output of the Four Sum problem solution that finds all unique quadruplets?

hard

A. [[2, 2, 2, 2]]

B. [[2, 2, 2, 2], [2, 2, 2, 2]]

C. []

D. [[2, 2, 2]]

Solution

1. Step 1: Check if quadruplets sum to target

   All elements are 2, so quadruplet [2, 2, 2, 2] sums to 8.

2. Step 2: Ensure uniqueness of quadruplets

   Even though elements repeat, only one unique quadruplet exists. Duplicates must be avoided.

3. Final Answer:

   [[2, 2, 2, 2]] -> Option A

4. Quick Check:

   Unique quadruplet summing to 8 = [[2, 2, 2, 2]] [OK]

Hint: Same numbers can form one unique quadruplet if sum matches target [OK]

Common Mistakes:

• Returning duplicate quadruplets multiple times
• Returning empty list when quadruplet exists
• Confusing triple with quadruplet