Bubble Sort In C Mcq Exercise 5

✅ It has a time complexity O(n log n).
✅ Adaptive to partially sorted arrays.
✅ Easy implementation.

Explanation:

The correct answer is option (d).

Users tend to favor Bubble Sort due to its straightforwardness, ease of implementation, and transparent logic, making it more approachable compared to intricate sorting methods such as Quick Sort or Merge Sort.

What are the potential time complexities associated with different implementations of Bubble Sort?

Example


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

✅ O(n)
✅ O(n log n)
✅ O(n^2)
✅ O(1)

Explanation:

The correct answer is option (c).

The worst and average case time complexity of Bubble Sort is O(n^2). It contains nested loops where each pass to an array may need comparisons proportional to the square of the number of elements in an array.

Which of the following sorting algorithms is most similar to the approach used in Bubble Sort?

✅ Merge Sort
✅ Quick Sort
✅ Selection Sort
✅ Insertion Sort

Explanation:

The correct answer is option (c).

They are similar in that Bubble Sort and Selection Sort find the next smallest or largest element to place in position. Though Bubble Sort performs this task by swapping any two adjacent elements, the selection sort selects the next smallest element directly for a position.

In terms of comparison and swap, what will be Bubble Sort's worst-case time complexity?

✅ O(n log n)
✅ O(n^2)
✅ O(n)
✅ O(1)

Explanation:

The correct answer is option (b).

A notable characteristic of Bubble Sort is that its time complexity in the worst-case scenario, for both comparisons and swaps, is quadratic. This situation occurs when the list is arranged in descending order.

Which sorting algorithm is being utilized in the following code snippet?

Example


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

✅ Merge Sort
✅ Quick Sort
✅ Bubble Sort
✅ Insertion Sort

Explanation:

The correct answer is option (c).

The provided code snippet demonstrates a sorting program in C utilizing the Bubble Sort algorithm. Bubble Sort iterates through the list multiple times, comparing and swapping adjacent elements until the list is arranged in the correct order.

In the context of the Bubble Sort implementation shown below, the variable "temp" serves as a temporary storage location for holding the value of an element during the swapping process.

Example


void bubbleSort(int arr[], int n) 
int i, j;
for(i=0;i<n-1;i++)
{
for(j=0;j<n;j++)
{
while in the case of descending order,
if(arr[j]>arr[j+1])
{
int temp = arr[j];
arr[j] = arr[j+1];
arr[j+1]=temp;
}
}
}
}

✅ It holds the value of the current element being compared with the elements of a different list.
✅ It tempers the index of the current element.
✅ It avoids or eliminates the room for unnecessary or even dangerous comparisons.
✅ It holds the element that is swapped temporarily.

Explanation:

The correct answer is option (d).

Interestingly, within the Bubble Sort algorithm, a variable named temp serves its purpose precisely as its name implies. Acting as a temporary placeholder, temp holds the value of a specific index during the process of swapping it with another index. This mechanism ensures that the elements are exchanged without compromising their original content.

Which section of the subsequent code excerpt for Bubble Sort is responsible for both iterating through the elements and facilitating the swapping process?

Example


void bubbleSort(int *arr, int n)
int i, j;
Loop for for-i DESCRIPTION 
for(i=0;i<n-1;i++)
{
for(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;
}
}
}
}

✅ If that is the case, the for loop such as for(i=0; i<n-1;i++)
✅ for(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;

Explanation:

The correct answer is option (c).

This section of the code functions as a conditional statement that evaluates whether the current element, represented by arr[j], is larger than the subsequent element, represented by arr[j+1]. In case this condition is met, it exchanges the positions of the two values by employing a temporary variable, commonly denoted as temp.

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