Sorting algorithms is nothing but arranging the data in ascending and descending order. Sorting is a team that comes into the picture, as humans realize the importance of searching quickly.

Sorting organizes data in a sequence which makes searching easier. Sorting as a concept is deeply fixed in a lot of things that we do. It’s quite often that we like to arrange data, usually that we want to set data in a certain order. In this blog, we’ll discuss the different basic types of sorting algorithms.

Let’s begin our discussion with the definition of sorting algorithms.

**Sorting algorithms **

A sorting algorithm is a method for rearranging a given array according to the comparison promoter on the element. The comparison promoter is used to decide the new order of a component in the data structure.

Examples:

1. Arranging numbers in ascending and descending order.

1,4,5,5,67,245// sorted in ascending order.

2. In the case of a set of characters, order elements in alphabetical order.

a,c,f,k,m,x// sorted in alphabetical order.

**Why are sorting algorithms important?**

- Program accuracy: Like in any program, sorting algorithms are not valid unless they are accurate. This type of behavior would make the entire algorithm useless. Instead, you are unable to focus on simply your data inputs and outputs.
- Speed: This component is vital to understanding why it’s important to understand sorting algorithms. There were several reasons for the poor performance of Twitter early on.
- Comparisons: To move data from one location in a dataset to another, you need to know where to move it, comparing the target data to other data in a dataset.
- Exchanges: The number of exchanges affect speed considerably because moving data from one location to another in memory.

**Types of sorting algorithms**

Here are 6 different types of sorting algorithms:

- Bubble sort
- Selection sort
- Insertion sort
- Quicksort
- Merge sort
- Counting sort

1)** Bubble sor**t: Bubble sort is an easy sorting algorithm. This sorting algorithm is comparison-based in which each pair of adjacent elements is compared, and the components are exchanged if they are not in order. This algorithm is not suitable for large data sets as its average of O(n^2), where n is the number of items.

Algorithms:We assume the list is an array of n elements.Begin, bubble sort (list)For all elements of lists If list (i)> list (i+1) swap (list[i], list [i+1]) end if end for return listend bubblesort. |

2) **Selection sort:** Selection sort selects the smallest element from an unsorted list in each place at the beginning of the unsorted list. It is not efficient on a large list and is used as a part of a complicated algorithm. It is smaller to insertion sort but uses fever swaps.

Algorithms:selection sort (array,size) repeat(size-1) times set the first unarranged element as the minimum for each of the unarranged elements if element<currentMinimum swap minimum with first unsorted position end selection sort. |

3) **Insertion sort: **A sorting algorithm places an unsorted element at its suitable place in each iteration. It works similarly as we sort cards in our hands in a card game. If the unarranged card is greater than the card in hand, it is placed on the right; otherwise, to the left.

Algorithms: Insertion sort(array) mark first element as sorted for each unsorted element X ‘extract’ the element X for j< – lastsortindex down to 0 if current element j>X move sorted component to the right by 1 break bend and insert X here end insertionsort. |

4) **Quicksort:** Quicksort is a highly efficient sorting algorithm based on partitioning an array of data into smaller arrays. A large collection is partitioned into two arrays, one of which holds a smaller value than the specified value, and another variety holds a value greater than the pivot value.

Algorithms:Quicksort (array A, start, end){if(start<end){p=partition(A,start,end)quicksort(A,start,p-1)quicksort(A,p+1,end)}}. |

5)** Merge sort:** Merge sort is one of the most efficient sorting algorithms, and it works on the principles of divide and conquer. Merge sort repeatedly breaks down a list into several subtitles until each subtitle consists of a single element and merges those subtitles in a manner that results in a sorted list.

Algorithms:Merge_sort (arr,beg,end) if beg<endset mid=(beg+end)/2Merge_sort(arr,beg,mid)Merge_sort(arr,mid+1,end)Merge(arr,beg,mid,end)end of ifEnd Merge_sort. |

6) **Counting sort:** Counting sort is a sorting technique based on keys between specific ranges. It works by counting the numbers of objects having distinct key values. Then doing some algorithm to calculate the position of each object in the output sequence.

Algorithms: Countingsort(array,size)max< – find largest element in array initialize count array with all zerosfor j< – 0 to size find the total count of each isolated element andstore the count at jth index in count array for i < – 1 to maxfind the cumulative sum and store it in a count array itself for j< -size down to 1 restore the elements to an array decrease the count of each element restored by 1. |

**Conclusion:**

In this blog, we’ll discuss six different types of sorting algorithms. Each one has briefly explained how they work and why they are efficient in their own way. Many sorting algorithms can be combined for large data sets that exceed system memory and time. We wish you got an idea of the various sorting algorithms that can be used in programs. There are common and highly used different types of sorting algorithms in the data structure. I hope you have understood about types of sorting algorithms easily. And also if you need assignment help online, then contact our professional experts.

**Frequently asked questions (FAQs)**

### Where are sorting algorithms used?

1. As an aid to searching.

2. For matching entries in the list.

### What sorting algorithms are stable?

Several common sorting algorithms are stable by nature, such as merge sort, counting sort, and bubble sort. Others such as quicksort and selection sort are unstable.