Give the bound using big-oh(O) notation on the following 2 solutions and provide a brief description of supporting calculations. If applicable, feel free to use the master theorem. ifa = b (O(n log(n)) T(m) = a T ) + o(n*). r(m) = 0(") ifa b 1. T(n) = T(n – 3) +n 2. T(n) = 2T(n/3) +n

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Give the bound using big-oh(O) notation on the following 2 solutions and provide a brief description of supporting calculations.
If applicable, feel free to use the master theorem.
(0(n" log(n)) ifa = b
ifa < b
if a > b
T(m) = a T (E) + 0(n*).
T(n) = {0(n")
T(n) = T(n- 3) +n
1.
T(n) = 2T(n/3) +n
2.
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Transcribed Image Text:Give the bound using big-oh(O) notation on the following 2 solutions and provide a brief description of supporting calculations. If applicable, feel free to use the master theorem. (0(n" log(n)) ifa = b ifa < b if a > b T(m) = a T (E) + 0(n*). T(n) = {0(n") T(n) = T(n- 3) +n 1. T(n) = 2T(n/3) +n 2. Edit View Insert Format Tools Table
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