In this post, we will see about Sorting algorithms in java.

A Sorting algorithm is an algorithm which puts collection of elements in specific order.

**For example:**

You want to sort list of numbers into ascending order or list of names into lexicographical order.

There are lots of questions being asked on sorting algorithms about its implementation, time complexity in data structure and algorithms interviews.It is very essential to understand pros and cons for all sorting algorithm before you go for algorithm interview.

Table of Contents

I have covered almost all the sorting algorithm in other posts. This is index posts for all sorting algorithms.

## Java Sorting Algorithms

Here is list of Sorting algorithms.

**1. Bubble sort**

Implementation of bubble sort

**Time Complexity:**

Best case: O(n)

Average case: O(n^2)

Worst case: O(n^2)

**2. Insertion sort**

Implementation of Insertion sort

**Time Complexity:**

Best case: O(n)

Average case: O(n^2)

Worst case: O(n^2)

**3. Selection sort**

Implementation of Selection Sort

**Time Complexity:**

Best case : O(N^2)

Average case : O(N^2)

Worst case : O(N^2)

**4. Heap sort**

**Time Complexity:**

Best case : O(nlogn)

Average case : O(nlogn)

Worst case : O(nlogn)

**5. Quick Sort**

**Time Complexity:**

Best case : O(nlogn)

Average case : O(nlogn)

Worst case : O(n^2)

**6. Merge sort**

**Time Complexity:**

Best case : O(nlogn)

Average case : O(nlogn)

Worst case : O(nlogn)

**7. Shell Sort**

**Time Complexity:**

Best case : O(nlogn)

Average case : O(n(logn)^2)

Worst case : O(n(logn)^2)

**8. Counting Sort**

Implementation of Counting Sort

**Time Complexity:**

Best case : O(n+k)

Average case : O(n+k)

Worst case : O(n+k)

**9. Bucket Sort**

**Time Complexity:**

Best case : O(n+k)

Average case : O(n+k)

Worst case : O(n^2)

**10. Radix sort**

**Time Complexity:**

Best case : O(nk)

Average case : O(nk)

Worst case : O(nk)

## Github Source code:

That’s all about Sorting algorithms in java.

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