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[ 3 points ] Algorithm A and B spend exactly ! ( ) = 0 . 1 log #$ and % ( ) =

[3 points] Algorithm A and B spend exactly !()=0.1" log #$ and %()=2.5"
microseconds respectively, for a problem of size n. Choose the algorithm, which is better in the Big-O
sense, and find out a problem size n 0 such that for any larger size n > n0 the chosen algorithm
outperforms the other. If your problems are of the size <=10& , which algorithm, will you
recommend to use?

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