Sorting in Data Structures provides a different way in which we can easily sort elements in a particular order.

Sorting Algorithm

What is the sorting techniques in data structure?
Sorting is a process of arranging the data in a particular order.
Definition: Arranging a set of data in some kind of order is referred to as sorting.
This can be implemented by many different algorithms.
Sorting example
Telephone directory names of persons arranged in alphabetical order.

Consider a simple example of sorting, We are having 5 random numbers as 10 2 19 1 8.
As these are the random number we need to sort the number as, 1 2 8 10 19
We got the sorted list easily but how we sort these random numbers to be sorted.

For this, there are various techniques available in a data structure which are different from each other and performed in a different fashion to arrange the data in a particular order.

Sorting Techniques in Data Structure

Different techniques or Sorting algorithms in Data Structures to sort elements in order which are as follows:

Sorting techniques in Data Structure
Sorting techniques in Data Structure
  1. Bubble sort
  2. Selection sort
  3. Insertion sort
  4. Merge sort
  5. Heap sort
  6. Quick sort
  7. Binary sort
  8. Shell sort

we are having different techniques for sorting But these sorting techniques have different time complexity.

Sorting time complexity

The total time required for the execution of a program is known as time complexity.
We will choose anyone sorting technique whose complexity will be suitable for your needs or we use a sorting technique which is efficient.
Sorting algorithms complexity

Sorting time complexity
Sorting time complexity

Advantages of sorting

  • It will make retrieving and traversing data easy and simple.
  • It makes memory management easy.
  • Sorting also makes searching easy.

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