September 2017
Intermediate to advanced
466 pages
9h 33m
English
Content preview from Go Systems Programming
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The Big O notation
The Big O notation is used for describing the complexity of an algorithm, which is directly related to its performance. The efficiency of an algorithm is judged by its computation complexity, which mainly has to do with the number of times the algorithm needs to access its input data to do its job. Usually, you would want to know about the worst-case scenario and the average situation.
So, an O(n) algorithm, where n is the size of the input, is considered better than an O(n2) algorithm, which is better than an O(n3) algorithm. However, the worst algorithms are the ones with an O(n!) running time because this makes them almost unusable for inputs with more than 300 elements. Note that the Big O notation is more about estimating ...
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