# Sorting

## Types of Sorting Algorithms

Sorting is a process of rearranging the items in a collection so that they are in some kind of order. It is one of the most fundamental algorithms in computer science and it has a wide variety of applications. There are many different sorting algorithms, each with its own advantages and disadvantages. Here are some of the most common sorting algorithms.

### Bubble Sort

Bubble sort is one of the simplest sorting algorithms. It works by repeatedly comparing adjacent elements of an array and swapping them if they are in the wrong order. Bubble sort is a very inefficient algorithm, as it requires multiple passes through the array to sort it. However, it is relatively simple to implement and it is a good choice for small data sets.

### Selection Sort

Selection sort is another simple sorting algorithm. It works by repeatedly finding the smallest element in the array and swapping it with the first element in the array. Like bubble sort, selection sort is a very inefficient algorithm and it is not suitable for large data sets.

### Insertion Sort

Insertion sort is a sorting algorithm that works by repeatedly inserting an element into the sorted portion of the array. This algorithm is more efficient than bubble sort and selection sort and it is suitable for larger data sets.

### Merge Sort

Merge sort is a sorting algorithm that works by dividing the array into two halves, sorting each half separately, and then merging the two sorted halves. This algorithm is more efficient than insertion sort and it is suitable for large data sets.

### Quick Sort

Quick sort is a sorting algorithm that works by selecting a pivot element and then partitioning the array around the pivot. This algorithm is more efficient than merge sort and it is suitable for large data sets. Sorting algorithms are an important part of computer science and there are many different algorithms to choose from. Each algorithm has its own advantages and disadvantages, so it is important to choose the right algorithm for the task at hand.