Bubble Sort Algorithm in DSA C++ - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main idea behind the Bubble Sort algorithm?

Bubble Sort repeatedly compares adjacent elements and swaps them if they are in the wrong order, "bubbling" the largest unsorted element to the end in each pass.

beginner

How many passes does Bubble Sort make in the worst case for an array of size n?

In the worst case, Bubble Sort makes n-1 passes through the array to fully sort it.

intermediate

What is the time complexity of Bubble Sort in the average and worst cases?

The time complexity is O(n²) because it compares and swaps elements in nested loops.

intermediate

How can Bubble Sort be optimized to stop early if the array is already sorted?

By adding a flag to check if any swaps happened in a pass; if no swaps occur, the array is sorted and the algorithm stops early.

beginner

Write the basic step of Bubble Sort comparing two adjacent elements a[i] and a[i+1].

If a[i] > a[i+1], swap a[i] and a[i+1] to move the larger element towards the end.

What does Bubble Sort do in each pass through the array?

A Sorts the entire array in one pass

B Moves the smallest unsorted element to the beginning

C Moves the largest unsorted element to the end

D Removes duplicates from the array

Bubble Sort compares adjacent elements and swaps them to move the largest unsorted element to the end in each pass.

What is the worst-case time complexity of Bubble Sort?

A O(n²)

B O(n log n)

C O(log n)

D O(n)

Bubble Sort uses nested loops, resulting in O(n²) time complexity in the worst case.

Which of these is a simple optimization for Bubble Sort?

A Stop if no swaps happen in a pass

B Use binary search to find elements

C Sort only half the array

D Use recursion instead of loops

If no swaps occur in a pass, the array is already sorted, so Bubble Sort can stop early.

After the first pass of Bubble Sort on an unsorted array, what can we say about the last element?

A It is the smallest element

B It is in the middle

C It is unchanged

D It is the largest element

The largest element "bubbles" to the end after the first pass.

Which data structure does Bubble Sort work on?

A Linked list only

B Array or list

C Tree

D Graph

Bubble Sort works on arrays or lists where elements can be accessed by index.

Explain how Bubble Sort works step-by-step on a small array.

Think about how the biggest number moves to the right in each pass.

Describe one way to improve Bubble Sort's efficiency.

Consider what happens if the array is already sorted.

Practice

1. What is the main idea behind the Bubble Sort algorithm?

easy

A. Divide the array into halves and sort each half separately

B. Repeatedly swap adjacent elements if they are in the wrong order

C. Select the smallest element and move it to the beginning

D. Insert each element into its correct position in a sorted part

Solution

1. Step 1: Understand Bubble Sort process

   Bubble Sort compares adjacent elements and swaps them if they are out of order.

2. Step 2: Identify the correct description

   This swapping of neighbors repeats until the whole list is sorted.

3. Final Answer:

   Repeatedly swap adjacent elements if they are in the wrong order -> Option B

4. Quick Check:

   Bubble Sort = Swap neighbors repeatedly [OK]

Hint: Bubble Sort swaps neighbors repeatedly until sorted [OK]

Common Mistakes:

• Confusing Bubble Sort with Selection Sort
• Thinking it divides the array like Merge Sort
• Assuming it inserts elements like Insertion Sort

2. Which of the following is the correct syntax for the inner loop of Bubble Sort in C++ to compare adjacent elements in an array arr of size n?

easy

A. for (int j = 0; j < n - i - 1; j++)

B. for (int j = 0; j < n; j++)

C. for (int j = 1; j < n - i; j++)

D. for (int j = 0; j <= n - i; j++)

Solution

1. Step 1: Understand inner loop range

   The inner loop runs from 0 to n - i - 1 because after each pass, the last i elements are sorted.

2. Step 2: Check each option

   for (int j = 0; j < n - i - 1; j++) correctly uses j < n - i - 1 to avoid out-of-bound and unnecessary comparisons.

3. Final Answer:

   for (int j = 0; j < n - i - 1; j++) -> Option A

4. Quick Check:

   Inner loop limit = n - i - 1 [OK]

Hint: Inner loop stops before sorted elements at end [OK]

Common Mistakes:

• Using j < n instead of j < n - i - 1
• Starting j from 1 instead of 0
• Using <= instead of < causing out-of-bound

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

int arr[] = {5, 3, 8, 4};
int n = 4;
for (int i = 0; i < n - 1; i++) {
  for (int j = 0; j < n - i - 1; j++) {
    if (arr[j] > arr[j + 1]) {
      int temp = arr[j];
      arr[j] = arr[j + 1];
      arr[j + 1] = temp;
    }
  }
}
for (int i = 0; i < n; i++) {
  std::cout << arr[i] << " ";
}

medium

A. 3 5 4 8

B. 5 3 4 8

C. 8 5 4 3

D. 3 4 5 8

Solution

1. Step 1: Trace first pass of Bubble Sort

   Compare pairs: (5,3) swap -> {3,5,8,4}, (5,8) no swap, (8,4) swap -> {3,5,4,8}

2. Step 2: Trace second pass and final array

   Next pass: (3,5) no swap, (5,4) swap -> {3,4,5,8}, last pass no swaps needed.

3. Final Answer:

   3 4 5 8 -> Option D

4. Quick Check:

   Sorted array = 3 4 5 8 [OK]

Hint: Bubble Sort pushes largest to end each pass [OK]

Common Mistakes:

• Not swapping correctly on first pass
• Confusing order of swaps
• Printing unsorted array

4. Identify the error in the following Bubble Sort code snippet and select the correct fix:

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

medium

A. Add a swap flag to optimize and stop early if sorted

B. Change outer loop to i < n - 1 to reduce unnecessary passes

C. Change inner loop to j < n - i - 1 to avoid out-of-bound access

D. No error, code is correct

Solution

1. Step 1: Analyze inner loop condition

   Inner loop uses j < n - i, but accesses arr[j + 1], which causes out-of-bound when j = n - i - 1.

2. Step 2: Correct inner loop limit

   Changing to j < n - i - 1 prevents accessing arr[n], fixing runtime error.

3. Final Answer:

   Change inner loop to j < n - i - 1 to avoid out-of-bound access -> Option C

4. Quick Check:

   Inner loop limit fixes out-of-bound [OK]

Hint: Inner loop must stop before last compared index [OK]

Common Mistakes:

• Ignoring out-of-bound access
• Changing outer loop only
• Assuming code is correct without checking array access

5. Given an array arr = {7, 2, 9, 4, 3}, how many total swaps will Bubble Sort perform to sort it in ascending order?

hard

A. 6

B. 5

C. 4

D. 7

Solution

1. Step 1: Trace swaps in each pass

   Pass 1: (7,2) swap, (7,9) no, (9,4) swap, (9,3) swap -> 3 swaps
   Array now: {2,7,4,3,9}

2. Step 2: Continue tracing swaps

   Pass 2: (2,7) no, (7,4) swap, (7,3) swap -> 2 swaps
   Array now: {2,4,3,7,9}
   Pass 3: (2,4) no, (4,3) swap -> 1 swap
   Array now: {2,3,4,7,9}
   Pass 4: no swaps

3. Final Answer:

   6 -> Option A

4. Quick Check:

   Total swaps counted = 6 [OK]

Hint: Count swaps each pass until no swaps left [OK]

Common Mistakes:

• Counting comparisons instead of swaps
• Stopping early without counting all passes
• Miscounting swaps in passes