Selection Sort Algorithm in DSA C - Time & Space Complexity

Time Complexity: Selection Sort Algorithm

O(n²)

Understanding Time Complexity

We want to understand how the time taken by Selection Sort changes as the list size grows.

Specifically, how many steps does it take to sort a list of numbers?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

void selectionSort(int arr[], int n) {
    for (int i = 0; i < n - 1; i++) {
        int minIndex = i;
        for (int j = i + 1; j < n; j++) {
            if (arr[j] < arr[minIndex]) {
                minIndex = j;
            }
        }
        int temp = arr[minIndex];
        arr[minIndex] = arr[i];
        arr[i] = temp;
    }
}
    

This code sorts an array by repeatedly finding the smallest remaining element and swapping it to the front.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The inner loop that scans the unsorted part to find the minimum element.
• How many times: The outer loop runs (n-1) times, and for each, the inner loop runs fewer times, roughly (n-1), (n-2), ..., 1 times.

How Execution Grows With Input

As the list size grows, the number of comparisons grows roughly with the square of the size.

Input Size (n)	Approx. Comparisons
10	45
100	4,950
1000	499,500

Pattern observation: Doubling the input size roughly quadruples the number of comparisons.

Final Time Complexity

Time Complexity: O(n²)

This means the time to sort grows quickly as the list gets bigger, roughly proportional to the square of the list size.

Common Mistake

[X] Wrong: "Selection Sort gets faster if the list is already sorted."

[OK] Correct: Selection Sort always checks all remaining elements to find the minimum, so it does the same work regardless of initial order.

Interview Connect

Understanding Selection Sort's time complexity helps you compare it with faster sorting methods and shows your grasp of basic algorithm efficiency.

Self-Check

"What if we changed the inner loop to stop early when no smaller element is found? How would the time complexity change?"

Practice

1. What is the main idea behind the Selection Sort Algorithm?

easy

A. Divide the list and merge sorted parts

B. Swap adjacent elements if they are in wrong order

C. Repeatedly find the smallest element and move it to the front

D. Insert elements into their correct position one by one

Solution

1. Step 1: Understand selection sort process

   Selection sort finds the smallest element in the unsorted part and swaps it with the first unsorted element.

2. Step 2: Compare with other sorting methods

   Unlike bubble sort (swapping adjacent) or merge sort (divide and conquer), selection sort selects the minimum each time.

3. Final Answer:

   Repeatedly find the smallest element and move it to the front -> Option C

4. Quick Check:

   Selection sort = find minimum and swap [OK]

Hint: Selection sort picks smallest and swaps front [OK]

Common Mistakes:

• Confusing selection sort with bubble sort
• Thinking it sorts by inserting elements
• Believing it divides and merges lists

2. Which of the following is the correct syntax to swap two elements arr[i] and arr[min_idx] in C during selection sort?

easy

A. arr[i], arr[min_idx] = arr[min_idx], arr[i];

B. temp = arr[i]; arr[i] = arr[min_idx]; arr[min_idx] = temp;

C. swap(arr[i], arr[min_idx]);

D. arr[i] = arr[min_idx]; arr[min_idx] = arr[i];

Solution

1. Step 1: Understand swapping in C

   C does not have built-in swap; we use a temporary variable to hold one value during swap.

2. Step 2: Check each option

   temp = arr[i]; arr[i] = arr[min_idx]; arr[min_idx] = temp; uses a temp variable correctly. arr[i] = arr[min_idx]; arr[min_idx] = arr[i]; overwrites arr[i] before saving. swap(arr[i], arr[min_idx]); is invalid syntax in C. arr[i], arr[min_idx] = arr[min_idx], arr[i]; is Python syntax, not C.

3. Final Answer:

   temp = arr[i]; arr[i] = arr[min_idx]; arr[min_idx] = temp; -> Option B

4. Quick Check:

   Use temp variable to swap in C [OK]

Hint: Use temp variable to swap in C [OK]

Common Mistakes:

• Trying to swap without temp variable
• Using Python or other language syntax
• Overwriting values before saving

3. What will be the output array after the first pass of selection sort on arr = {29, 10, 14, 37, 13}?

medium

A. {10, 29, 14, 37, 13}

B. {29, 10, 14, 37, 13}

C. {13, 10, 14, 37, 29}

D. {10, 14, 29, 37, 13}

Solution

1. Step 1: Find minimum in entire array

   Minimum element is 10 at index 1.

2. Step 2: Swap minimum with first element

   Swap 29 (index 0) with 10 (index 1). Array becomes {10, 29, 14, 37, 13}.

3. Final Answer:

   {10, 29, 14, 37, 13} -> Option A

4. Quick Check:

   First pass swaps smallest to front [OK]

Hint: First pass swaps smallest element to front [OK]

Common Mistakes:

• Not swapping after finding minimum
• Swapping with wrong index
• Confusing first pass with full sort

4. Identify the error in this selection sort snippet and choose the fix:

for (int i = 0; i < n; i++) {
  int min_idx = i;
  for (int j = i + 1; j < n; j++) {
    if (arr[j] < arr[min_idx])
      min_idx = j;
  }
  arr[i] = arr[min_idx];
  arr[min_idx] = arr[i];
}

medium

A. Swap lines overwrite values; use a temp variable to swap

B. Change inner loop to start from j = 0

C. Remove inner loop; selection sort doesn't need it

D. Use arr[min_idx] = arr[j] instead of arr[min_idx] = arr[i]

Solution

1. Step 1: Analyze swap lines

   Lines arr[i] = arr[min_idx]; arr[min_idx] = arr[i]; overwrite arr[min_idx] with arr[i] after first assignment, losing original value.

2. Step 2: Correct swap method

   Use a temporary variable to hold arr[i], then assign arr[i] = arr[min_idx], then arr[min_idx] = temp to swap correctly.

3. Final Answer:

   Swap lines overwrite values; use a temp variable to swap -> Option A

4. Quick Check:

   Swap needs temp variable to avoid overwrite [OK]

Hint: Use temp variable to swap, not direct assignments [OK]

Common Mistakes:

• Swapping without temp variable
• Changing loop start incorrectly
• Removing necessary inner loop

5. Given the array arr = {64, 25, 12, 22, 11}, after fully sorting it using selection sort, what is the final sorted array?

hard

A. {64, 25, 12, 22, 11}

B. {11, 22, 12, 25, 64}

C. {25, 11, 12, 22, 64}

D. {11, 12, 22, 25, 64}

Solution

1. Step 1: Perform selection sort passes

   Pass 1: min=11, swap with 64 -> {11,25,12,22,64}
   Pass 2: min=12, swap with 25 -> {11,12,25,22,64}
   Pass 3: min=22, swap with 25 -> {11,12,22,25,64}
   Pass 4: min=25, no swap needed -> {11,12,22,25,64}

2. Step 2: Confirm final sorted array

   After all passes, array is sorted ascending: {11, 12, 22, 25, 64}.

3. Final Answer:

   {11, 12, 22, 25, 64} -> Option D

4. Quick Check:

   Selection sort fully sorts ascending [OK]

Hint: Selection sort sorts ascending by swapping minimum each pass [OK]

Common Mistakes:

• Stopping after first pass
• Not swapping correctly
• Mixing up element positions