In simple terms, “in-place” just means that the input is overwritten (via swapping or replacement) by the output as the algorithm executes. Into alphabetical order by first letter, using a stable algorithm the output would be:Īs you can see, “Blackberries” and “Bananas” remained in the same relative positions in the input and output array because the algorithm is stable.įor an example showing why the stability of an algorithm can be important to know, check out: Important Algorithm Concepts | Algorithm Stability, In-place Algorithms, and Comparison Algorithms In-place algorithmsĪn in-place sorting algorithm is an algorithm which transforms input using no auxiliary data structures however, a small amount of extra storage space is allowed for auxiliary variables. Stable means that two elements with equal values will appear in the same order in the sorted output as they appear in the unsorted input array.
Big O Notation in JavaScript | The Ultimate Beginners Guide with Examples.The Graph of Big O Notation is a useful way of comparing Big Os:Īlgorithms with Big O(1) are as good as it gets: if we increase the size of the input, the execution time remains constant.Īlgorithms with Big O(n!) are “horrible”: if we increase the input size even just a little, the execution time can rise dramatically.īig O is a very important concept, and is fundamental to understanding algorithms. It tells us how long a function will take to execute or how much space in memory will be taken up as the input to that function approaches infinity (becomes very large). It specifically looks at the worst-case scenario of an algorithm. Important algorithm concepts Big O Notationīig O Notation is used to analyse the performance of an algorithm.
#Selection sort vs bubble sort wost case senario code
The latter algorithms require a good explanation of the code to aid understanding, so instead of making this article too long by adding the code, I decided to provide them as links. It will also help you to write better performing code.įor each algorithm we'll discuss the logic and the performance in terms of time and space.Īt the end of each algorithm section, there is a link to the code implementation in JavaScript. Learning sorting and searching algorithms is a fantastic way to improve your problem-solving skills.