We know that in  "case 2" of the Master Theorem Method, where f(n)=Θ(n^log_b(a⁡)) (assume suitable constants a,b,e), the number of leaves in the recursion tree and the cost of f(n) contribute equally to the overall runtime cost. To which of the following recurrences does this case of the Master Theorem apply?

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We know that in  "case 2" of the Master Theorem Method, where f(n)=Θ(n^log_b(a⁡)) (assume suitable constants a,b,e), the number of leaves in the recursion tree and the cost of f(n) contribute equally to the overall runtime cost. To which of the following recurrences does this case of the Master Theorem apply? 

a. T (n) = 2T (7) + 2n
b. T (n) = 2T (7) + Ö
c. T (n) = 2T (2) + 2n
d. T (n) = 2T (2) + √5n
O b. and d.
O b. and c.
O a.
O b.
Transcribed Image Text:a. T (n) = 2T (7) + 2n b. T (n) = 2T (7) + √ñ c. T (n) = 2T (2) + 2n d. T (n) = 2T (2) + √5n O b. and d. O b. and c. O a. O b.
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