**Sorting Algorithm Tutorials - Herong's Tutorial Examples** - Version 6.01, by Dr. Herong Yang

Why Sorting Is Needed?

This section describes why sorting is needed - Search in a sorted collection is much faster than an un-sorted collection.

Sorting makes it possible to search a particular data element in a collection quickly by applying the binary search technique.

Everyone knows what is the binary search technique. We are using it every time when we look up a word in a dictionary.

How much time we can save by using the binary search technique? Let's do a rough calculation. Assume that we have a sorted dictionary and an un-sorted dictionary with the same collection of words printed on about 1000 pages.

Looking up a word in the un-sorted dictionary, the best case is that you found the word on the first page; the worst case is that you looked through all 1000 the pages, and found the word on the last page. So roughly the average time you spend is checking 500 pages.

Looking up a word in the sorted dictionary, the best case is that you found the word on the center page, which is the first page you will be checking based on the binary search technique; the worst case is that you found the word on the final page after you have divided the dictionary 10 times. So roughly the average time you spend is checking 5 pages.

The answer is obvious. We are saving about 99% of our time by using the sorted dictionary!

*Last update: 2015.*

Table of Contents

►Introduction of Sorting Algorithms

Most Popular Sorting Algorithms

Java API for Sorting Algorithms

Insertion Sort Algorithm and Implementation

Selection Sort Algorithm and Implementation

Bubble Sort Algorithm and Implementation

Quicksort Algorithm and Implementation

Merge Sort Algorithm and Implementation

Heap Sort Algorithm and Implementation

Shell Sort Algorithm and Implementation