Here we consider two variables input N and M. Find the Big-O complexity of the following...
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Here we consider two variables input N and M. Find the Big-O complexity of the following code i=1 while i<=N: for j in range(M): # do something i=i*2 Asymptotic analysis: Find the Big-O of the following functions (Drag and Drop) N/2 3N/[N+log(N)] N+2*log(N) [N+Nlog(N)]^2 1+2+3+...+N (N^3+5)/(N^2+5) [2N^2+5N]/[(N+1)^2] 2^(log(N)) (this is log2) O(N) O(N) 0(1) O(N) O(N^2) O(NlogN) O(logN) 0(1) O(N) O(N^3) O(N) 0(1) O(logN) O(2^N) O((NlogN)^2) O(N^2) Here we consider two variables input N and M. Find the Big-O complexity of the following code i=1 while i<=N: for j in range(M): # do something i=i*2 Asymptotic analysis: Find the Big-O of the following functions (Drag and Drop) N/2 3N/[N+log(N)] N+2*log(N) [N+Nlog(N)]^2 1+2+3+...+N (N^3+5)/(N^2+5) [2N^2+5N]/[(N+1)^2] 2^(log(N)) (this is log2) O(N) O(N) 0(1) O(N) O(N^2) O(NlogN) O(logN) 0(1) O(N) O(N^3) O(N) 0(1) O(logN) O(2^N) O((NlogN)^2) O(N^2)
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Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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