Sort Colors Two Pointer Dutch Flag in DSA C++ - Time & Space Complexity

Time Complexity: Sort Colors Two Pointer Dutch Flag

O(n)

Understanding Time Complexity

We want to understand how the time needed to sort colors using two pointers changes as the number of colors grows.

How does the sorting time grow when we have more colors to arrange?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

void sortColors(std::vector<int>& nums) {
    int low = 0, mid = 0, high = nums.size() - 1;
    while (mid <= high) {
        if (nums[mid] == 0) {
            std::swap(nums[low], nums[mid]);
            low++; mid++;
        } else if (nums[mid] == 1) {
            mid++;
        } else { // nums[mid] == 2
            std::swap(nums[mid], nums[high]);
            high--;
        }
    }
}
    

This code sorts an array containing 0s, 1s, and 2s by moving pointers and swapping elements in one pass.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: A single while loop that moves the mid pointer through the array.
• How many times: The loop runs at most n times, where n is the number of elements.

How Execution Grows With Input

As the number of colors (n) increases, the number of steps grows roughly the same as n.

Input Size (n)	Approx. Operations
10	About 10 steps
100	About 100 steps
1000	About 1000 steps

Pattern observation: The steps grow linearly with input size; doubling input roughly doubles the work.

Final Time Complexity

Time Complexity: O(n)

This means the sorting time grows directly in proportion to the number of elements.

Common Mistake

[X] Wrong: "Because there are nested if-else checks, the time complexity is O(n²)."

[OK] Correct: The loop runs only once through the array, and each element is handled in constant time, so the total work is linear, not quadratic.

Interview Connect

Understanding this linear time sorting method shows you can efficiently handle problems with limited value ranges using pointers, a skill valued in many coding challenges.

Self-Check

"What if we added a fourth color? How would the time complexity change?"

Practice

1. What is the main goal of the Sort Colors Two Pointer Dutch Flag algorithm?

easy

A. To find the maximum element in an array

B. To sort any array of integers in ascending order

C. To sort an array containing only 0s, 1s, and 2s in a single pass

D. To reverse the elements of an array

Solution

1. Step 1: Understand the problem context

   The algorithm is designed specifically for arrays with only three distinct values: 0, 1, and 2.

2. Step 2: Identify the algorithm's purpose

   It sorts these values in one pass using two pointers, placing all 0s first, then 1s, then 2s.

3. Final Answer:

   To sort an array containing only 0s, 1s, and 2s in a single pass -> Option C

4. Quick Check:

   Sort colors = sort 0,1,2 in one pass [OK]

Hint: Remember: Dutch Flag sorts 0,1,2 in one pass [OK]

Common Mistakes:

• Thinking it sorts any integer array
• Confusing it with general sorting algorithms
• Assuming it reverses the array

2. Which of the following is the correct initialization of pointers in the Dutch National Flag algorithm in C++?

easy

A. int low = 0, mid = n - 1, high = 0;

B. int low = 0, mid = 0, high = n - 1;

C. int low = n - 1, mid = 0, high = 0;

D. int low = 0, mid = 0, high = 0;

Solution

1. Step 1: Understand pointer roles

   Low and mid start at the beginning (index 0), high starts at the end (index n-1).

2. Step 2: Match initialization

   int low = 0, mid = 0, high = n - 1; correctly initializes low and mid to 0, and high to n-1.

3. Final Answer:

   int low = 0, mid = 0, high = n - 1; -> Option B

4. Quick Check:

   Pointers start low=0, mid=0, high=end [OK]

Hint: Start low and mid at 0, high at last index [OK]

Common Mistakes:

• Setting low or mid to n-1 incorrectly
• Initializing all pointers to zero
• Confusing high pointer position

3. What will be the output of the following C++ code snippet?

std::vector<int> nums = {2, 0, 2, 1, 1, 0};
int low = 0, mid = 0, high = nums.size() - 1;
while (mid <= high) {
  if (nums[mid] == 0) {
    std::swap(nums[low], nums[mid]);
    low++; mid++;
  } else if (nums[mid] == 1) {
    mid++;
  } else {
    std::swap(nums[mid], nums[high]);
    high--;
  }
}
for (int num : nums) std::cout << num << " ";

medium

A. 0 0 1 1 2 2

B. 2 2 1 1 0 0

C. 0 1 0 1 2 2

D. 1 0 2 0 1 2

Solution

1. Step 1: Trace the sorting process

   Initially: {2,0,2,1,1,0} - Swap 2 and 0 at low and mid, low=1, mid=1 - mid points to 0, swap with low, low=2, mid=2 - mid points to 2, swap with high (0), high=4 - mid points to 0, swap with low, low=3, mid=3 - mid points to 1, mid++ - mid points to 1, mid++ Loop ends.

2. Step 2: Final array after sorting

   The array becomes: 0 0 1 1 2 2

3. Final Answer:

   0 0 1 1 2 2 -> Option A

4. Quick Check:

   Sorted colors output = 0 0 1 1 2 2 [OK]

Hint: Swap 0s left, 2s right, 1s stay middle [OK]

Common Mistakes:

• Not swapping correctly when nums[mid] == 2
• Incrementing mid after swapping with high
• Confusing pointer updates

4. Identify the error in the following C++ code implementing the Dutch National Flag algorithm:

int low = 0, mid = 0, high = n - 1;
while (mid < high) {
  if (nums[mid] == 0) {
    std::swap(nums[low], nums[mid]);
    low++;
    mid++;
  } else if (nums[mid] == 1) {
    mid++;
  } else {
    std::swap(nums[mid], nums[high]);
    high--;
  }
}

medium

A. Pointers low and mid should start at n - 1

B. The high pointer should be incremented instead of decremented

C. Swapping should be done only when nums[mid] == 1

D. The loop condition should be 'mid <= high' instead of 'mid < high'

Solution

1. Step 1: Analyze loop condition

   The loop uses 'mid < high', which misses the case when mid equals high, leaving last element unsorted.

2. Step 2: Correct loop condition

   Changing to 'mid <= high' ensures all elements are processed including when mid equals high.

3. Final Answer:

   The loop condition should be 'mid <= high' instead of 'mid < high' -> Option D

4. Quick Check:

   Loop must cover mid == high for full sorting [OK]

Hint: Use 'mid <= high' to cover all elements [OK]

Common Mistakes:

• Using 'mid < high' misses last element
• Starting pointers incorrectly
• Wrong pointer increments or decrements

5. Given an array nums containing only 0s, 1s, and 2s, how would you modify the Dutch National Flag algorithm to count how many swaps are performed during sorting?

hard

A. Add a counter variable and increment it each time a swap is done inside the loop

B. Count the number of 0s, 1s, and 2s before sorting

C. Increment a counter every time mid pointer moves

D. Count swaps only when nums[mid] == 1

Solution

1. Step 1: Understand when swaps happen

   Swaps occur when nums[mid] is 0 or 2, swapping with low or high pointers respectively.

2. Step 2: Implement swap counting

   Introduce an integer counter initialized to zero, increment it inside the loop each time std::swap is called.

3. Final Answer:

   Add a counter variable and increment it each time a swap is done inside the loop -> Option A

4. Quick Check:

   Count swaps by incrementing on each swap call [OK]

Hint: Increment counter inside swap blocks only [OK]

Common Mistakes:

• Counting pointer moves instead of swaps
• Counting swaps for 1s which are not swapped
• Counting before sorting instead of during