Skip to main content

Bubble sort Algorithm

Bubble sort is the most simple sorting technique used to sort arrays , linked list etc. It is an algorithm that keeps traversing the list until the list is completly sorted. Bubble sort has been occasionally referred to as a "sinking sort". The idea being that the larger elements are heavier hence they sink to the bottom of the list and smaller elements being light bubble to the top of the list.

 Algorithm

 In bubble we keep comparing 2 adjacent elements and swap their places is they are not in correct order.

Performance

 Bubble sort being a simple algorithm works fine when the size of the data is small but its performance decreases as the size of the data increases, hence Bubble is used only when number of elements is small or only some elements are out of order.

 To know more about bubble sort, its performance, complexity and comparisons to other sorting methods click Here.


  

C Program

C++ Program

Sample input and output to check the program



You might Also be interested in

Stack implementation using Linked List
Queue implementation using Linked List
Linked List in Java
Linked List in c++
Binary Search Tree
Height of Binary Search Tree
Labels:

Comments

Post a Comment

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...
4 comments
Read more

Hashing with Quadratic Probing

Hashing is a technique used for storing , searching and removing elements in almost constant time. Hashing is done with help of a hash function that generates index for a given input, then this index can be used to search the elements, store an element, or remove that element from that index. A hash function is a function that is used to map the data elements to their position in the data structure used. For example if we use an array to store the integer elements then the hash function will generate position for each element so that searching, storing and removing operation on the array can be done in constant time that is independent of the number of elements in the array. For better look at the example below. now we face a problem if for 2 numbers same position is generated example consider elements 1 and 14 1 % 13 = 1 14 % 13 = 1 so when we get 1 we store it at the first position, but when we get 14 we see that the position 1 is already taken, this is a case of colli...
Post a Comment
Read more

Hashing with Linear Probing

Hashing is a technique used for storing , searching and removing elements in almost constant time. Hashing is done with help of a hash function that generates index for a given input, then this index can be used to search the elements, store an element, or remove that element from that index. A hash function is a function that is used to map the data elements to their position in the data structure used. For example if we use an array to store the integer elements then the hash function will generate position for each element so that searching, storing and removing operation on the array can be done in constant time that is independent of the number of elements in the array. For better look at the example below. now we face a problem if for 2 numbers same position is generated example consider elements 1 and 14 1 % 13 = 1 14 % 13 = 1 so when we get 1 we store it at the first position, but when we get 14 we see that the position 1 is already taken, this is a case of colli...
Post a Comment
Read more