Due: Friday, June 29th by 11:59 PM
Do exercise 5.20 on page 220, part (a) only. You just need to analyze each code fragment to find a big-O upper bound on its running time. You do not need to implement or benchmark the code fragments.
Please see me if you have the third edition of the textbook.
For each code fragment, explain how you arrived at the big-O upper bound.
For example, for the first code fragment: "the body of the loop executes in constant time, and the loop executes exactly n iterations, so the overall running time is O(n)".
Don't forget to drop low order terms and constant factors from your big-O bound.
Important: if the problem involves nested loops in which the inner loop is dependent on the outer loop, then you will need to analyze the loops together. Use a series to count the total number of iterations of the body of the inner loop.
Save your answers in a plain text file or a PDF file. Submit to marmoset as assign5:
Important: Do not submit a file in any format other than plain text or PDF.
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