What if you could find all groups of four numbers adding to your target without checking every single combination?
Why Four Sum Problem All Unique Quadruplets in DSA Typescript?
Imagine you have a list of numbers and want to find all groups of four numbers that add up to a specific target. Doing this by checking every possible group manually means looking at thousands or millions of combinations, which is like trying to find four friends in a huge crowd by asking every possible group if they add up to your target number.
Manually checking every group is very slow and tiring. It's easy to miss some groups or count the same group more than once. This makes the process error-prone and frustrating, especially when the list is large.
The Four Sum problem solution uses sorting and smart skipping to quickly find all unique groups of four numbers that add up to the target. It avoids repeating groups and skips unnecessary checks, making the search much faster and more reliable.
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++) { for (let l = k + 1; l < nums.length; l++) { if (nums[i] + nums[j] + nums[k] + nums[l] === target) { // add quadruplet } } } } }
nums.sort((a, b) => a - b); for (let i = 0; i < nums.length - 3; i++) { if (i > 0 && nums[i] === nums[i - 1]) continue; for (let j = i + 1; j < nums.length - 2; j++) { if (j > i + 1 && nums[j] === nums[j - 1]) continue; let left = j + 1, right = nums.length - 1; while (left < right) { const 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--; } } } }
This method lets you quickly find all unique sets of four numbers that add up to a target, even in large lists, without missing or repeating any group.
Suppose you want to find four products from a store catalog whose prices add up exactly to your gift card balance. Using this approach, you can find all possible combinations efficiently without checking every possible group manually.
Manual checking of all quadruplets is slow and error-prone.
Sorting and skipping duplicates speeds up the search and avoids repeats.
The approach finds all unique quadruplets that sum to the target efficiently.
Practice
Four Sum Problem in data structures and algorithms?Solution
Step 1: Understand the problem statement
The Four Sum Problem asks to find all unique sets of four numbers in an array that add up to a given target sum.Step 2: Identify the goal
The goal is to return all quadruplets without duplicates that sum to the target value.Final Answer:
Find all unique quadruplets in an array that sum up to a target value -> Option BQuick Check:
Four Sum Problem = Find quadruplets summing to target [OK]
- Confusing with two sum or three sum problems
- Ignoring uniqueness of quadruplets
- Trying to find maximum or minimum instead of sum
Solution
Step 1: Analyze the function parameters and return type
The function should take an array of numbers and a target number, and return an array of quadruplets (arrays of numbers).Step 2: Match the correct signature
function fourSum(nums: number[], target: number): number[][] matches this: input is number array and target number, output is array of number arrays.Final Answer:
function fourSum(nums: number[], target: number): number[][] -> Option DQuick Check:
Correct input/output types = function fourSum(nums: number[], target: number): number[][] [OK]
- Wrong parameter order or types
- Returning single number instead of array of quadruplets
- Using string types instead of number
const nums = [1, 0, -1, 0, -2, 2];
const target = 0;
console.log(fourSum(nums, target));
function fourSum(nums: number[], target: number): number[][] {
nums.sort((a, b) => a - b);
const quadruplets: number[][] = [];
for (let i = 0; i < nums.length - 3; i++) {
if (i > 0 && nums[i] === nums[i - 1]) continue;
for (let j = i + 1; j < nums.length - 2; j++) {
if (j > i + 1 && nums[j] === nums[j - 1]) continue;
let left = j + 1, right = nums.length - 1;
while (left < right) {
const sum = nums[i] + nums[j] + nums[left] + nums[right];
if (sum === target) {
quadruplets.push([nums[i], nums[j], 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 < target) {
left++;
} else {
right--;
}
}
}
}
return quadruplets;
}Solution
Step 1: Sort the array and initialize variables
The array after sorting is [-2, -1, 0, 0, 1, 2]. We use nested loops and two pointers to find quadruplets summing to 0.Step 2: Find all unique quadruplets summing to target
By iterating and skipping duplicates, the quadruplets found are [-2, -1, 1, 2], [-2, 0, 0, 2], and [-1, 0, 0, 1].Final Answer:
[[-2, -1, 1, 2], [-2, 0, 0, 2], [-1, 0, 0, 1]] -> Option CQuick Check:
Unique quadruplets summing to 0 = [[-2, -1, 1, 2], [-2, 0, 0, 2], [-1, 0, 0, 1]] [OK]
- Not sorting array before processing
- Not skipping duplicates causing repeated quadruplets
- Incorrect pointer movement leading to missed quadruplets
function fourSum(nums: number[], target: number): number[][] {
nums.sort((a, b) => a - b);
const quadruplets: number[][] = [];
for (let i = 0; i < nums.length - 3; i++) {
for (let j = i + 1; j < nums.length - 2; j++) {
let left = j + 1, right = nums.length - 1;
while (left < right) {
const sum = nums[i] + nums[j] + nums[left] + nums[right];
if (sum === target) {
quadruplets.push([nums[i], nums[j], nums[left], nums[right]]);
left++;
right--;
} else if (sum < target) {
left++;
} else {
right--;
}
}
}
}
return quadruplets;
}Solution
Step 1: Review duplicate handling in loops
The code does not skip duplicate values for i, j, left, or right indices, which can cause repeated quadruplets in the result.Step 2: Identify missing duplicate checks
Proper skipping of duplicates after pushing quadruplets and in outer loops is needed to ensure uniqueness.Final Answer:
Missing checks to skip duplicate elements causing repeated quadruplets -> Option AQuick Check:
Duplicate skipping missing = Missing checks to skip duplicate elements causing repeated quadruplets [OK]
- Not skipping duplicates in outer loops
- Not skipping duplicates after pushing quadruplet
- Assuming sorting fixes duplicates automatically
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?Solution
Step 1: Understand the input and target
The array has five identical elements 2, and the target sum is 8.Step 2: Find unique quadruplets summing to 8
Only one unique quadruplet [2, 2, 2, 2] sums to 8. Even though elements repeat, quadruplets must be unique sets.Final Answer:
[[2, 2, 2, 2]] -> Option AQuick Check:
Unique quadruplet with sum 8 = [[2, 2, 2, 2]] [OK]
- Returning duplicate quadruplets multiple times
- Returning empty list incorrectly
- Confusing triplets with quadruplets
Ready to prove it?
Pass the test and this pattern moves unknown
