Homework Answers
Order of the functions according to their growth rate is:
2/N < 37 < √N <N < NloglogN < N logN ≤ N log(N^2) < Nlog^2(N) < N^1.5 < N^2 < N^(2) logN < N^3 < 2^(N/2) < 2^N
Functions having same rate are N log N and N log (N^2):
N log(N^2) = 2N logN = Θ(N logN)
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Order the following functions by growth rate: N, squrerootN, N1.5, N2, NlogN, N log logN, Nlog2N,...
Order the following functions by asymptotic growth rate. 2n log n + 2n, 210, 2 log...
Order the following functions by asymptotic growth rate. 2n log n + 2n, 210, 2 log n, 3n + 100 log n, 4n, 2n, n2 + 10n, n3, n log n2
Needs to be explained also, like what method you used to compare the growth rate. Thank...
Needs to be explained also, like what method you used to compare
the growth rate. Thank you
4) Order the following functions by growth rate. Indicate which functions grow at the same rate (15 points) N, N2, log N, N log N, log(N2), log2 N, N log2N, 2, 2N, 37, N2 log N, 5logN, N3, 10N log N2
Which of the following functions has the highest order of growth? A. 2n+log(n) B. n+2*log(n) C....
Which of the following functions has the highest order of growth? A. 2n+log(n) B. n+2*log(n) C. n+log(2n) D. n+log(n2) E. All of the above have the same order of growth.
Order the following functions by asymptotic growth rate: 4n, 2^log(n), 4nlog(n)+2n, 2^10, 3n+100log(n), 2^n, n^2+10n, n^3,...
Order the following functions by asymptotic growth rate: 4n, 2^log(n), 4nlog(n)+2n, 2^10, 3n+100log(n), 2^n, n^2+10n, n^3, nlog(n) You should state the asymptotic growth rate for each function in terms of Big-Oh and also explicitly order those functions that have the same asymptotic growth rate among themselves.
What is the complexity of hierarchical clustering? O(logn) O(n) O(nlogn) O(n2) O(n!) O(2n)
What is the complexity of hierarchical clustering? O(logn) O(n) O(nlogn) O(n2) O(n!) O(2n)
76. Arrange the following functions in ascending or- der of growth rate: 4000 log n, 2n2...
76. Arrange the following functions in ascending or- der of growth rate: 4000 log n, 2n2 + 13n - 8, 1,036, 3n log n, 2" - n2, 2n! - n, n2 – 4n.
Here are some common orders of growth, ranked from no growth to fastest growth: Θ(1) — constant time takes the same amount of time regardless of input size Θ(log n) — logarithmic time Θ(n) — linear t...
Here are some common orders of growth, ranked from no growth to
fastest growth:
Θ(1) — constant time takes the same amount of time regardless
of input size
Θ(log n) — logarithmic time
Θ(n) — linear time
Θ(n log n) — linearithmic time
Θ(n2 ) — quadratic time
Θ(n3 ), etc. — polynomial time
Θ(2n), Θ(3n), etc. — exponential time
(considered “intractable”; these are really, really horrible)
In addition, some programs will never terminate if they get
stuck in an...
1. (10 points) Write an efficient iterative (i.e., loop-based) function Fibonnaci(n) that returns the nth Fibonnaci...
1. (10 points) Write an efficient iterative (i.e., loop-based) function Fibonnaci(n) that returns the nth Fibonnaci number. By definition Fibonnaci(0) is 1, Fibonnaci(1) is 1, Fibonnaci(2) is 2, Fibonnaci(3) is 3, Fibonnaci(4) is 5, and so on. Your function may only use a constant amount of memory (i.e. no auxiliary array). Argue that the running time of the function is Θ(n), i.e. the function is linear in n. 2. (10 points) Order the following functions by growth rate: N, \N,...
Need help with 1,2,3 thank you. 1. Order of growth (20 points) Order the following functions...
Need help with 1,2,3 thank you.
1. Order of growth (20 points) Order the following functions according to their order of growth from the lowest to the highest. If you think that two functions are of the same order (Le f(n) E Θ(g(n))), put then in the same group. log(n!), n., log log n, logn, n log(n), n2 V, (1)!, 2", n!, 3", 21 2. Asymptotic Notation (20 points) For each pair of functions in the table below, deternme whether...
1. Order following function by growth rate: N, √N, N1.5, N log (N), log (log (N)),...
1. Order following function by growth rate: N, √N, N1.5, N log (N), log (log (N)), log (N) log (N), N2, 2N, 200, NN 2. Give a useful Θ (big Theta) estimation for each of following function t(n). a. t(n) = 122 * 212 b. t(n) = 2log2(n2) + log4(n ) + (log2 n) 2 + (log2 (202)) 2 c. t(n) = 3t(n/2) + n d. t(n) = 3t(n/2) + (n+1)(n-1) e. t(n) = 4t(n/2) + (n2 + n-1) f....
Needs to be explained also, like what method you used to compare
the growth rate. Thank you
4) Order the following functions by growth rate. Indicate which functions grow at the same rate (15 points) N, N2, log N, N log N, log(N2), log2 N, N log2N, 2, 2N, 37, N2 log N, 5logN, N3, 10N log N2
Order the following functions by asymptotic growth rate: 4n, 2^log(n), 4nlog(n)+2n, 2^10, 3n+100log(n), 2^n, n^2+10n, n^3, nlog(n) You should state the asymptotic growth rate for each function in terms of Big-Oh and also explicitly order those functions that have the same asymptotic growth rate among themselves.
76. Arrange the following functions in ascending or- der of growth rate: 4000 log n, 2n2 + 13n - 8, 1,036, 3n log n, 2" - n2, 2n! - n, n2 – 4n.
Here are some common orders of growth, ranked from no growth to
fastest growth:
Θ(1) — constant time takes the same amount of time regardless
of input size
Θ(log n) — logarithmic time
Θ(n) — linear time
Θ(n log n) — linearithmic time
Θ(n2 ) — quadratic time
Θ(n3 ), etc. — polynomial time
Θ(2n), Θ(3n), etc. — exponential time
(considered “intractable”; these are really, really horrible)
In addition, some programs will never terminate if they get
stuck in an...
1. (10 points) Write an efficient iterative (i.e., loop-based) function Fibonnaci(n) that returns the nth Fibonnaci number. By definition Fibonnaci(0) is 1, Fibonnaci(1) is 1, Fibonnaci(2) is 2, Fibonnaci(3) is 3, Fibonnaci(4) is 5, and so on. Your function may only use a constant amount of memory (i.e. no auxiliary array). Argue that the running time of the function is Θ(n), i.e. the function is linear in n. 2. (10 points) Order the following functions by growth rate: N, \N,...
Need help with 1,2,3 thank you.
1. Order of growth (20 points) Order the following functions according to their order of growth from the lowest to the highest. If you think that two functions are of the same order (Le f(n) E Θ(g(n))), put then in the same group. log(n!), n., log log n, logn, n log(n), n2 V, (1)!, 2", n!, 3", 21 2. Asymptotic Notation (20 points) For each pair of functions in the table below, deternme whether...
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