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DSA C++programming~5 mins

Three Sum Problem All Unique Triplets in DSA C++ - Time & Space Complexity

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Time Complexity: Three Sum Problem All Unique Triplets
O(n^2)
Understanding Time Complexity

We want to understand how the time needed to find all unique triplets that sum to zero grows as the input list gets bigger.

How does the number of steps change when the list size increases?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.


// Find all unique triplets that sum to zero
vector> threeSum(vector& nums) {
    sort(nums.begin(), nums.end());
    vector> result;
    for (int i = 0; i < (int)nums.size(); i++) {
        if (i > 0 && nums[i] == nums[i-1]) continue;
        int left = i + 1, right = (int)nums.size() - 1;
        while (left < right) {
            int sum = nums[i] + nums[left] + nums[right];
            if (sum == 0) {
                result.push_back({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 result;
}
    

This code finds all unique sets of three numbers in the list that add up to zero by sorting and using two pointers.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

  • Primary operation: The outer loop runs through each element, and inside it, a two-pointer scan moves through the remaining elements.
  • How many times: The outer loop runs n times, and the inner two-pointer loop runs up to n times combined for each outer iteration.
How Execution Grows With Input

As the list size grows, the sorting step takes more time, and the nested loops check pairs for each element.

Input Size (n)Approx. Operations
10About 100 to 200 steps
100About 10,000 to 20,000 steps
1000About 1,000,000 to 2,000,000 steps

Pattern observation: The operations grow roughly with the square of the input size after sorting.

Final Time Complexity

Time Complexity: O(n2)

This means if the list doubles in size, the time to find all triplets roughly quadruples.

Common Mistake

[X] Wrong: "The two-pointer part inside the loop runs n times for each element, so total time is O(n3) because of three nested loops."

[OK] Correct: The two-pointer approach moves inward from both ends and together covers the remaining elements only once per outer loop, so it is not a full nested loop of n times n times n.

Interview Connect

Understanding this time complexity helps you explain how to efficiently find triplets without checking every combination, a common skill interviewers appreciate.

Self-Check

"What if the input array was not sorted and we skipped sorting? How would the time complexity change?"

Practice

(1/5)
1. What is the main goal of the Three Sum Problem All Unique Triplets in an integer array?
easy
A. Find all unique triplets that sum to zero
B. Find the maximum sum of any three numbers
C. Find the triplet with the smallest product
D. Find pairs that sum to zero

Solution

  1. Step 1: Understand the problem statement

    The problem asks to find all unique sets of three numbers in the array whose sum equals zero.
  2. Step 2: Clarify uniqueness and sum condition

    Each triplet must be unique (no duplicates) and the sum of the three numbers must be exactly zero.
  3. Final Answer:

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

    Unique triplets with sum zero = Find all unique triplets that sum to zero [OK]
Hint: Look for three numbers adding exactly to zero [OK]
Common Mistakes:
  • Confusing pairs with triplets
  • Ignoring uniqueness of triplets
  • Looking for max or min sums instead of zero sum
2. Which of the following C++ code snippets correctly sorts the input vector nums before applying the two-pointer technique in the Three Sum problem?
easy
A. std::sort(nums);
B. sort(nums, nums + nums.size());
C. nums.sort();
D. std::sort(nums.begin(), nums.end());

Solution

  1. Step 1: Identify correct sorting syntax for std::vector

    For a vector, sorting requires iterators: nums.begin() and nums.end().
  2. Step 2: Check each option

    std::sort(nums.begin(), nums.end()); uses correct syntax. sort(nums, nums + nums.size()); is invalid because nums is a vector, not a pointer array. nums.sort(); is invalid because vector has no sort() method. std::sort(nums); is invalid because std::sort requires two iterators.
  3. Final Answer:

    std::sort(nums.begin(), nums.end()); -> Option D
  4. Quick Check:

    Correct vector sorting = std::sort(nums.begin(), nums.end()); [OK]
Hint: Use iterators with std::sort for vectors [OK]
Common Mistakes:
  • Using pointer syntax on vectors
  • Calling sort() as a vector method
  • Passing only one argument to std::sort
3. What is the output of the following C++ code snippet that finds all unique triplets summing to zero?
std::vector<int> nums = {-1, 0, 1, 2, -1, -4};
std::vector result;
std::sort(nums.begin(), nums.end());
for (int i = 0; i < nums.size() - 2; i++) {
  if (i > 0 && nums[i] == nums[i-1]) continue;
  int left = i + 1, right = nums.size() - 1;
  while (left < right) {
    int sum = nums[i] + nums[left] + nums[right];
    if (sum == 0) {
      result.push_back({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--;
    }
  }
}
for (auto &triplet : result) {
  for (int num : triplet) std::cout << num << ' ';
  std::cout << '\n';
}
medium
A. No output
B. -1 -1 2 -1 0 1
C. -4 -1 2 -1 0 1
D. -1 0 1 0 1 2

Solution

  1. Step 1: Sort the array and initialize pointers

    Sorted array: [-4, -1, -1, 0, 1, 2]. Loop through each element with two pointers to find triplets summing to zero.
  2. Step 2: Identify unique triplets with sum zero

    Triplets found are [-1, -1, 2] and [-1, 0, 1]. These are printed line by line.
  3. Final Answer:

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

    Unique triplets = [-1, -1, 2] and [-1, 0, 1] [OK]
Hint: Sort first, then use two pointers to find zero sum triplets [OK]
Common Mistakes:
  • Not skipping duplicates
  • Incorrect pointer movement
  • Printing wrong triplets
4. Identify the bug in the following code snippet for the Three Sum problem:
std::vector<int> nums = {-2, 0, 1, 1, 2};
std::vector result;
std::sort(nums.begin(), nums.end());
for (int i = 0; i < nums.size() - 2; i++) {
  int left = i + 1, right = nums.size() - 1;
  while (left < right) {
    int sum = nums[i] + nums[left] + nums[right];
    if (sum == 0) {
      result.push_back({nums[i], nums[left], nums[right]});
      left++;
      right--;
    } else if (sum < 0) {
      left++;
    } else {
      right--;
    }
  }
}
medium
A. Missing check to skip duplicate i values
B. Incorrect sorting of the input vector
C. Wrong initialization of pointers left and right
D. Using push_back instead of emplace_back

Solution

  1. Step 1: Analyze duplicate handling for i

    The code does not skip duplicate values for i, which can cause duplicate triplets in the result.
  2. Step 2: Confirm other parts are correct

    Sorting is correct, pointers are initialized properly, and push_back is valid here.
  3. Final Answer:

    Missing check to skip duplicate i values -> Option A
  4. Quick Check:

    Skipping duplicates for i avoids repeated triplets [OK]
Hint: Always skip duplicate i to avoid repeated triplets [OK]
Common Mistakes:
  • Not skipping duplicates for i
  • Skipping duplicates only for pointers
  • Assuming sorting fixes duplicates automatically
5. Given the input array nums = {0, 0, 0, 0}, what is the correct output of the Three Sum problem that finds all unique triplets summing to zero?
hard
A. []
B. [[0, 0, 0], [0, 0, 0]]
C. [[0, 0, 0]]
D. [[0, 0]]

Solution

  1. Step 1: Understand the input with duplicates

    All elements are zero, so the only triplet summing to zero is [0, 0, 0].
  2. Step 2: Ensure uniqueness of triplets

    Even though multiple zeros exist, only one unique triplet [0, 0, 0] should be returned.
  3. Final Answer:

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

    Unique triplet with zeros = [[0, 0, 0]] [OK]
Hint: Multiple zeros produce one unique triplet [OK]
Common Mistakes:
  • Returning duplicate triplets
  • Returning pairs instead of triplets
  • Returning empty result for all zeros
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