Skip to main content

Counting sort Algorithm

 Want to sort numbers in a given range? Use Counting sort algorithm.
Counting sort is a integer sorting algorithm, It is a non-comparison sorting algorithm as it does not compare different elements rather it uses index of elements and their count while sorting them. Counting sort is a linear sorting algorithm and must be used when elements are in a given range and variation in the elements is not much.
It simply operates by counting the number of occurrences of  different elements in a given range, as it is a linear sorting technique it has time complexity of   O(n + k) where 'n' is the number of elements in the array and 'k' is the number of elements between max and min elements.

let us consider the below example, 
let the array of numbers to be sorted be 
arr = {1,3,2,1,3,3,2}
here, n = 7, min = 1, max = 3 hence k = 3

now we create a array that holds counts of all the elements, 1 has occurred 2 times, 2 has occurred 2 times and 3 has occurred 3 times thus we have
count_Array = {2, 2, 3}

Now, we construct sorted array using the count_Array, as we know 1 has occurred 2 times in the sorted array we put it 2 times and so on finally we have sorted array as 

sorted_Array = {1, 1, 2, 2, 3, 3, 3}

The following image might help in understanding the idea.



Algorithm

  1. Find the minimum and maximum element from the given array.
  2. Initialize a count array with length as maximum - maximum and initialize all elements to 0.
  3. Traverse thorough the original array and keep updating the count of each element.
  4. Use the count array to place the sorted elements in the original array, using the count of each element.
Drawbacks 
Though the algorithm has very less time complexity it cannot be used in general sorting cases, it can be only used when elements to be sorted are to be known in particular range.




C++ Program

Sample input and output to check the program

You might also be interested in 

Quick Sort using Recursion
Data Encryption using Caesar Cipher
Data Decryption using Caesar Cipher
LCM of 2 numbers
Anagram Strings
Double Linked List
Finding Middle node in a Linked List

Comments

Popular posts from this blog

Home Page

List of All Programs The Following is the List of all the programs on my Blog Math Programs Square Root of a number using Babylonian Method Finding The Next Smallest Palindrome Finding the Armstrong Numbers Factorial of a number GCD using Euclid's Algorithm Check if a number is Fibonacci Number or not LCM of 2 numbers Trailing Zeros in factorial of a number Sorting Algorithms Bubble Sort Algorithm Selection Sort Algorithm Insertion Sort Algorithm Shell Sort Algorithm Counting Sort Algorithm Linked List Programs Simple Singly Linked List Linked List in C++ Linked List in Python Linked List in Java Doubly Linked List Finding Kth element from the end of Linked List Delete a node from Linked List Delete Kth element from the end of Linked List Rotate Linked List in an Anti-clockwise direction Reversing first K nodes of a Linked List Binary Search Tree Left View of Binary Tree Righ...

Infix to Prefix conversion using Stack

This post is about conversion of Infix expression to Prefix conversion. For this conversion we take help of stack data structure, we need to push and pop the operators in and out of the stack. Infix expressions are the expressions that we normally use, eg. 5+6-7; a+b*c etc. Prefix expressions are the expressions in which the 2 operands are preceded by the operator eg. -+56 7 , +a*bc etc. This method is very similar to the method that we used to convert Infix to Postfix but the only difference is that here we need to reverse the input string before conversion and then reverse the final output string before displaying it. NOTE: This changes one thing that is instead of encountering the opening bracket we now first encounter the closing bracket and we make changes accordingly in our code. So, to convert an infix expression to a prefix expression we follow the below steps (we have 2 string, 1st is the input infix expression string 2nd is the output string which is empty initially)...

Linked List in python

Linked list is a simple linear data structure formed by collection of data elements called nodes. Each node consists of a data element and link field. There is a head node that points to the starting of the linked list. this diagram shows a simple representation of the linked list. Linked list can be used to implement stacks, queues, list, associative arrays, etc.  Unlike arrays linked lists are not stored in contagious memory locations rather the are stored at any empty place in memory and the address of the next node is stored in the link field. Also you don't need to declare the size of the linked list at the time of initialization you can dynamically keep adding elements to the linked list. Click for complete information on Linked List  The following implementation of the linked list has the following methods implemented : isEmpty() : Returns true if the Linked List is empty. addToStart() : Adds elements at the start of the linked Li...