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PART 2 - Comparing the orders of growth between two algorithms ( 4 pts ) Say we have two different algorithms with respective runtimes of
PART Comparing the orders of growth between two algorithms pts
Say we have two different algorithms with respective runtimes of fn and gn Given the following cases, prove whether or not fn is Ogn in each case.
You need to show your work with the crucial steps, eg finding the necessarily constant c in the definition of BigO You may utilize the pulluppulldown or the l'Hopital's trick discussed in class whenever needed.
You will be penalized for up to pt in total if all your work for this entire PART exceeds a whole AUS letter page in px font size assuming you start from the top of the page
PS sqrtn means the squareroot of n aka n
Case
fn
gn
cosn
sinn
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