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What is the 3Sum Problem and How to Solve It?

The 3Sum problem is a classic algorithmic challenge that often comes up in technical interviews. The goal is to find all unique triplets in an array that sum up to a target value—in most cases, zero. This problem helps interviewers assess a candidate's understanding of array manipulations, sorting, and efficient searching techniques.

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Published onFebruary 27, 2025
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What is the 3Sum Problem and How to Solve It?

The 3Sum problem is a classic algorithmic challenge that often comes up in technical interviews. The goal is to find all unique triplets in an array that sum up to a target value—in most cases, zero. This problem helps interviewers assess a candidate's understanding of array manipulations, sorting, and efficient searching techniques.

Understanding the Problem

Given an array of integers, the task is to find all sets of three integers such that their sum equals zero. For instance, if you have an array like [-1, 0, 1, 2, -1, -4], the solution would include [ -1, -1, 2], [-1, 0, 1], among possibly others.

A key point is to ensure that the triplets are unique. This means that duplicate triplets should not be included in the final output.

A Naive Approach

An immediate way to approach this problem is to use three nested loops, checking all combinations of three numbers. Though simple to understand, this method has a time complexity of O(n^3), which is usually not efficient for larger datasets. Here’s how the naive implementation might look:

Python

While this works, it can be improved significantly.

An Efficient Approach

A better approach uses sorting and a two-pointer technique. First, sort the array. Then, fix one number and use two pointers to find the other two numbers. This reduces the time complexity to O(n^2). Here’s the code illustrating this method:

Python

Explanation of the Efficient Approach

  1. Sorting: The array is sorted to facilitate easy skipping of duplicates and to help with the two-pointer strategy.
  2. Fixed Element: The first for loop iterates through each element, which acts as the fixed element.
  3. Two Pointers: The two pointers (left and right) start just after the fixed element and at the end of the array, respectively. They adjust depending on the sum of the three elements. If the sum is less than zero, the left pointer is moved to the right to increase the sum. If the sum is more than zero, the right pointer is moved left to decrease the sum.
  4. Handling Duplicates: By skipping duplicates within the inner while loops, we ensure that the resulting triplets are unique.

With these principles and strategies in mind, the 3Sum problem can be efficiently tackled, providing an excellent opportunity to demonstrate problem-solving skills in a technical interview.

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