Quick Class! Bubble Sort Algorithms?
In this section of the course, we are working with Bubble Sort algorithms. For this reason, we need a quick class on what Bubble Sort Algorithms are! Luckily, that should be pretty easy, so just read along and you´ll get everything you need to know.
So, Bubble Sort is one of the simplest sorting algorithms, but it’s essential to grasp how it works before moving on to more advanced sorting techniques. In this lesson, we will explain Bubble Sort in detail, a step-by-step breakdown, and a full C# implementation.
Let’s get started!
Bubble Sort is a comparison-based sorting algorithm that repeatedly steps through a list, compares adjacent elements, and swaps them if they are in the wrong order. This process is repeated until the list is sorted.
Although it is one of the least efficient sorting algorithms in practice, it is useful for educational purposes because it helps to understand the concept of sorting algorithms and how they operate.
Well... kind of. Imagine a glass of soda with bubbles rising to the top. The smaller bubbles, being lighter, move upwards faster, while the larger ones take more time. Over time, all the bubbles have arranged themselves in order from smallest at the bottom to largest at the top.
This is how Bubble Sort works: the smallest elements "bubble" to their correct position step by step, just like the bubbles in the soda. The largest elements settle at their correct place first, and the smaller elements continue moving up until everything is sorted.
Bubble Sort works by iterating through the array multiple times. During each pass, adjacent elements are compared and swapped if they are out of order.
Let’s consider the following unsorted list:
Unsorted Array: [5, 3, 8, 4, 2]
We will perform multiple passes over the array to sort it:
First Pass:
Compare 5 and 3, swap → [3, 5, 8, 4, 2]
Compare 5 and 8, no swap → [3, 5, 8, 4, 2]
Compare 8 and 4, swap → [3, 5, 4, 8, 2]
Compare 8 and 2, swap → [3, 5, 4, 2, 8] (Largest element 8 is now in place)
Second Pass:
Compare 3 and 5, no swap → [3, 5, 4, 2, 8]
Compare 5 and 4, swap → [3, 4, 5, 2, 8]
Compare 5 and 2, swap → [3, 4, 2, 5, 8] (Second-largest element 5 is now in place)
Third Pass:
Compare 3 and 4, no swap → [3, 4, 2, 5, 8]
Compare 4 and 2, swap → [3, 2, 4, 5, 8]
Fourth Pass:
Compare 3 and 2, swap → [2, 3, 4, 5, 8]
Since no swaps are needed in the next pass, the sorting is complete.
[2, 3, 4, 5, 8]Now that we understand the concept, let’s implement it in C#:
using System;
class BubbleSortExample
{
static void BubbleSort(int[] arr)
{
int n = arr.Length;
bool swapped;
for (int i = 0; i < n - 1; i++)
{
swapped = false;
for (int j = 0; j < n - i - 1; j++)
{
if (arr[j] > arr[j + 1])
{
// Swap elements
int temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
swapped = true;
}
}
// If no swaps occurred, the array is already sorted
if (!swapped)
break;
}
}
static void Main()
{
int[] arr = {5, 3, 8, 4, 2};
Console.WriteLine("Unsorted Array: " + string.Join(", ", arr));
BubbleSort(arr);
Console.WriteLine("Sorted Array: " + string.Join(", ", arr));
}
}
We loop through the array multiple times.
We swap adjacent elements if they are in the wrong order.
The largest element moves to the correct position in each pass.
If no swaps occur in a pass, the array is already sorted, and we exit early.
Worst-case: O(n²) (If the array is in reverse order)
Best-case: O(n) (If the array is already sorted, only one pass is needed)
Average-case: O(n²)
O(1) (Since it is an in-place sorting algorithm, no extra space is used)
While Bubble Sort is easy to understand, it is not efficient for large datasets. More efficient sorting algorithms like QuickSort, MergeSort, or HeapSort are used in real-world applications.
However, Bubble Sort is useful for:
Educational purposes (teaching sorting concepts)
Small datasets where simplicity is preferred
Nearly sorted arrays (since it runs in O(n) in best-case scenarios)
Bubble Sort is a fundamental sorting algorithm that helps in understanding the mechanics of sorting in programming. Although not efficient for large datasets, it serves as an excellent starting point for learning about sorting algorithms.
Since we are using Bubble Sort in this section of the course, we wanted to provide a thorough explanation to ensure clarity before moving forward.
If you want to explore more efficient sorting techniques, consider learning about QuickSort, MergeSort, and HeapSort, which are commonly used in actual production applications.
Other than that, let´s continue with the course!