![]() ![]() This makes the algorithm’s average complexity of O(n 2 ) where n is the number of items that are being sorted. Then, we do exactly the same for the next pair of values, and again, if the second element’s value is smaller, we swap those elements.Īlthough it’s quite simple, it is also quite inefficient as it sometimes requires traversing through the whole list just to move one element. The recurring step is simple – (let’s say we have ascending order) compare the first two values, and if the value of the second element is smaller than the first, we swap their places. Here, we’ll review only one from each group. The Famous OnesĪccording to a study, when it comes to learning sorting algorithms, people usually begin first with inefficient algorithms (which have average time complexity of O(n 2 ) like Bubble sort and Insertion sort and then continue with some faster ones O(n log(n)) like Quicksort and Mergesort. Afterwards, we will tackle the question of whether you should choose and implement a specific sorting algorithm or instead use libraries in which sorting is already implemented.įor comparisons, we’ll be using “Big O notation” (written as O(*)), which describes the time complexity or speed of a given algorithm. ![]() In this blog, we’ll review the most used sorting algorithms in different spheres, compare their complexity and provide practical use examples. In Java, sorting data can sometimes be a bummer, especially if you don’t know which algorithm to use. ![]()
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