# What is bubble sort explain with example?

Data Science and Data Analysis with Python

Bubble sort is a simple sorting algorithm. This sorting algorithm is comparison-based algorithm in which each pair of adjacent elements is compared and the elements are swapped if they are not in order.

## Where bubble sort is used?

In computer graphics bubble sort is popular for its capability to detect a very small error (like swap of just two elements) in almost-sorted arrays and fix it with just linear complexity (2n).

## What is bubble sort steps?

Bubble sorts work like this:
1. Start at the beginning of the list.
2. Compare the first value in the list with the next one up. If the first value is bigger, swap the positions of the two values.
3. Move to the second value in the list.
4. Keep going until the there are no more items to compare.
5. Go back to the start of the list.

## What is real life example of bubble sort?

However with a little imagination, we can see how a bubble sort might happen in a real situation. Imagine there are five cars all travelling down a straight road. They are all being driven on cruise control, but each of the cars’ speeds have been set to slightly different values.

What is bubble sort explain with example? – Related Questions

## What are the advantages of bubble sort?

One of the main advantages of a bubble sort is that it is a very simple algorithm to describe to a computer. There is only really one task to perform (compare two values and, if needed, swap them). This makes for a very small and simple computer program .

## What is the best case of bubble sort?

n
Bubble sort / Best complexity

## What are the applications of merge sort?

Applications
• Merge Sort is useful for sorting linked lists in O(n Log n) time.
• Merge sort can be implemented without extra space for linked lists.
• Merge sort is used for counting inversions in a list.
• Merge sort is used in external sorting.

## What is the best time complexity of bubble sort?

The bubble sort is made up of only a few lines of code. With a best-case running time complexity of O(n), the bubble sort is helpful in determining whether or not a list is sorted. Other sorting methods frequently cycle through their entire sorting sequence, taking O(n2) or O(n log n) time to complete.

## What is the worst-case complexity of bubble sort?

n^2
Bubble sort / Worst complexity

## How many times does bubble sort run?

The algorithm for bubble sort requires a pair of nested loops. The outer loop must iterate once for each element in the data set (of size n) while the inner loop iterates n times the first time it is entered, n-1 times the second, and so on.

## Which sorting algorithm is best?

Quicksort. Quicksort is one of the most efficient sorting algorithms, and this makes of it one of the most used as well. The first thing to do is to select a pivot number, this number will separate the data, on its left are the numbers smaller than it and the greater numbers on the right.

## What is the efficiency of bubble sort?

The bubble sort is a very memory-efficient because all of the ordering occurs within the array or list itself (7). No new memory is allocated (7). No new data structures are necessary, for the same reason. The bubble sort requires very little memory other than that which the array or list itself occupies.

## Is bubble sort stable?

Yes
Bubble sort / Stable

## Which is faster sorting algorithm?

Which is the best sorting algorithm? If you’ve observed, the time complexity of Quicksort is O(n logn) in the best and average case scenarios and O(n^2) in the worst case. But since it has the upper hand in the average cases for most inputs, Quicksort is generally considered the “fastest” sorting algorithm.

## Which sorting method is slowest?

Stooge Sort: A Stooge sort is a recursive sorting algorithm.

## How many types of sorting are there?

What are the three types of sorting? The three types of basic sorting are bubble sort, insertion sort and selection sort.

## Which sorting is best for large data?

For large number of data sets, Insertion sort is the fastest. In the practical sorting, this case occurs rarely. Note that randomized Quicksort makes worst cases less possible, which will be the case for in-order data if the pivot point in Quicksort is chosen as the first element.

## Which sorting algorithm is used?

Complexity of Sorting Algorithms
Sorting Algorithm Time Complexity – Best Space Complexity
Insertion Sort n 1
Merge Sort nlog n n
Quicksort nlog n log n
Counting Sort n+k max

## Why quick sort is fastest?

Typically, quicksort is significantly faster in practice than other O(nlogn) algorithms, because its inner loop can be efficiently implemented on most architectures, and in most real-world data, it is possible to make design choices that minimize the probability of requiring quadratic time.