for (int pass = 1; pass <= n; pass++) { for (int index = 0; index < n; index++) { for (int count = 1; count < 10; count++) { } // end for } // end for } // end for
How do you determine the Big-Oh of the following computation? Show your work and all of the steps taken to determine the Big-Oh.
Thank you
In computer science and algorithm analysis, Big-O notation (also known as time complexity) is used to describe the upper bound on the time or space complexity of an algorithm as a function of the input size. It helps us understand how the algorithm's performance scales with larger inputs. When determining the Big-O of an algorithm, we focus on the worst-case scenario.
In this case, we have a nested loop structure with three loops. To determine the Big-O notation for this computation, we need to analyze the number of iterations these loops will perform concerning the input size n.
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