Why Sorting Is Important in C language?

C is a robust programming language which has many flexible features to develop easy to complex programs. It’s a simple procedural language which offers powerful operators and various data types making it a fast and efficient language. Initially, operating systems were built using C but developers are using it to write programs dedicated to applications like compilers, text editors, network drivers etc.

With diverse applications made in C, programmers often use sorting especially to find the desired data. Sorting is important to keep the data in an orderly arrangement. Sorting algorithms have a bigger part in the management of data. It includes the arrangement of the data in an ascending or descending order.

Efficiency Factor of Sorting Algorithms

Generally, sorting algorithms implement loops and conditional statements to sort a list of elements. It takes less loop iterations with a list having less number of elements and it increases with more elements. Thus, taking more time and space. With large records in a database, it becomes complex to search or sort elements. Here, the performance of a sorting algorithm plays a vital role for a program.

A diverse set of sorting methods have already predefined for programming languages. In C language, a developer can create simple or complex programs. It uses sorting approaches like bubble Sort, selection sort, insertion sort, quick sort, heap sort, and others. Every algorithm works on a different pattern for a group of elements. For example, bubble sort in C algorithm is the simplest to understand and perform. It repeatedly compares two adjacent elements and places them in the right order. On the other hand, selection sort repeatedly selects a minimum number in the unsorted list and place it on its right position.

These are some of the important algorithms of sorting widely used in the area of computer science. These have their own optimization techniques which suggest about the efficiency of an algorithm. Each sorting algorithm has an efficiency factor defined by the size of input data to be sorted. The algorithm efficiency of most of the sorting algorithms remains either O(n^2) or O(n*log(n)). Each sorting algorithm possesses certain advantages, disadvantages, and complexity. In C or any other programming language, sorting makes searching of a data quick and easy.

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