Different Sorting Methodologies

Introduction

Sorting is the process of arranging data in a specific order, usually ascending or descending.
Sorting algorithms are important because they help organize data and make searching faster.

In this article, we will look at some common sorting methodologies.

1. Bubble Sort

Compares adjacent elements and swaps them if they are in the wrong order.
Repeats the process until the array is sorted.
Easy to understand but not efficient for large datasets.

Time Complexity: O(n²)

2. Selection Sort

Finds the smallest element from the unsorted part of the array.
Places it at the beginning of the sorted part.
Performs fewer swaps compared to Bubble Sort.
Time Complexity: O(n²).

3. Insertion Sort

Builds the sorted array one element at a time.
Inserts each element into its correct position.
Works well for small or nearly sorted data.
Time Complexity: O(n²).

4. Merge Sort

Uses a divide and conquer method.
Divides the array into smaller parts, sorts them, and then merges them.
Much more efficient for large datasets.
Time Complexity: O(n log n).

Conclusion

Sorting algorithms are essential in computer science.
Common sorting methods include:

Bubble Sort
Selection Sort
Insertion Sort
Merge Sort

Each algorithm has different performance and use cases.