Sorting Algorithms Visualized

We all know about sorting algorithms. Each sorting algorithm works on different techniques. Each algorithm has some advantage and disadvantage. In this article, we will see Visualizations Of How Sorting Algorithms Works.

Let’s know about different sorting algorithm:

What is Sorting?

Sorting is an algorithm that arranges the elements of a list in a certain order like descending or ascending. And the output of the sorting will be permutation or reordering of the input.

Classification of Sorting Algorithms

• By number of comparisons
• By number of swaps
• By number of usages
• By recursion
• By stability
• By adaptability

Other Classifications:

• Internal Sort – This type of the sorting main memory exclusively during the sort are called internal sorting algorithms. [ High-speed random access to all memory. ]
• External Sort – This type of the sorting algorithms use external memory like tape or disk.

Most Popular Sorting algorithms:

• Selection Sort– This sorting algorithm is an in-place comparison-based algorithm in which the list is divided into two parts, the sorted part at the left end and the unsorted part at the right end.
• Bubble Sort– Bubble sort is a simple sorting algorithm. This sorting algorithm is a comparison-based algorithm in which each pair of adjacent elements is compared and the elements are swapped if they are not in order.
• Insertion Sort– The array is searched sequentially and unsorted items are moved and inserted into the sorted sub-list.
• Shell Sort– Shell sort is a highly efficient sorting algorithm and is based on an insertion sort algorithm.
• Quick Sort– Quick Sort is a highly efficient sorting algorithm and is based on a partitioning of an array of data into smaller arrays.
  • Simple Quick Sort
  • 3-way Quick Sort
  • Dual pivot Quick Sort
• Merge Sort– Merge sort is a sorting technique based on divide and conquer technique.
  • Bottom-up merge sort
  • Top-down merge sort
• Heap Sort– Heap Sort is a comparison based sorting technique based on a Binary Heap data structure.
• Tree Sort– A tree sort is a sort algorithm that builds a binary search tree from the elements to be sorted, and then traverses the tree so that the elements come out in sorted order.
• Linear Sorting Algorithms- There are sorting algorithms that run faster than O(n lg n) time but they require special assumptions about the input sequence to be sort.
  • Counting Sort
  • Bucket Sort
  • Radix Sort
  • Topological Sort

Let’s see the time complexity of each algorithm:

Let’s see all the sorting algorithms of different programming languages like for C, C++, Java, and Python.

• C programming language:
  • qsort() is a polymorphic sorting algorithm for arrays of arbitrary objects. It is also called as “quicker sort” algorithm (a variant of quick sort algorithm).
• C++ programming language:
  • sort() is using intro sort algorithm. It is a hybrid version of quick, heap and insertion
  • stable_sort() is using merge sort algorithm.
• Java Programming language:
  • SE6 version – Arrays.sort()
    • It is using MergeSort for Objects types of element.
    • It is using Dual-Pivot Quicksort for primitive types of element.
  • SE7, SE8 & SE9 version – Arrays.sort()
    • It is using TimeSort for Objects types of element. This is the combination of hybrid of Mergesort and Insertion Sort.
    • It is using Dual-Pivot Quicksort for primitive types of element.
  • Collections.sort() – is using merge sort.
• Python programming language:
  • sort() – it is using TimSort algorithm.
  • sorted() – it is also using TimSort algorithm.
• Php programming language:
  • sort() – it is using quick sort algorithm. The pivot is chosen in the middle of the partition.

In above feature image, Quick Sort will win as below

See More: Algorithms Books

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