Provide a closed-form expression for the asymptotic growth of n + n/2 + 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.
(6 points) Use repeated substitution to find an exact (non-asymptotic) closed-form ex- pression (a non-recursive function of n) for the recurrence F(n) - 12 F(n-1)+2 n2 2 Show your work, and write your final answer in the box at the bottom of the page.
1. What is the best asymptotic ("big-O”) characterization of the following function: f(n) = (14logn)2 + log (3) a) 0(3) Show steps. b) O(n) c) 0(n) d) 0(21) e) O(logn)
Example 3: The Growth of Functionsand Asymptotic notation a) Show that x is O(x )but that r is not O(x b) Give as good a big-O estimate as possible for each of the following (A formal proof is not required, but give your reasoning): log,n! 7n n +nlo 3n2 +2n+4 . (n log, (log,n") 2 42" c) Which of the functions in part b) above has the fastest growth rate? d) Show that if f(x) is Ollog, x)where b>1, and...
Arrange the following functions in ascending order of asymptotic growth rate; that is if function g(n) immediately follows function f(n) in your list, then it should be the case that f(n) is O(g(n)): 2 Squareroot log n, 2^n, n^4/3, n(log n)^3, n log n, 2 2^n, 2^n^2. Justify your answer.
3-3 Ordering by asymptotic growth rates a. Rank the following functions by order of growth; that is, find an arrangement 81,82, 830 of the functions satisfying gi = Ω(82), g2 Ω(83), , g29 = Ω(g30). Partition your list into equivalence classes such that functions f(n) and g(n) are in the same class if and only if f(n) = Θ(g(n)) Chaptr3 Growth of Functions 1n In Inn lg* g nn-2" n'ln Ig nIn n 2" nlgn 22+1 b. Give an example...
Please show work and solve in Asymptotic complexity using big O notation. (8 pts) Assume n is a power of 2. Determine the time complexity function of the loop for (i=1; i<=n; i=2* i) for (j=1; j<=i; j++) {
Order of Growth Rate Order the following functions by asymptotic growth: (i) fi(n) 3" (ii) f2(n) ni (iii) fa(n) 12 (iv) fa(n) 2log2 n (v) fs(n) Vn (vi) f6(n) 2" (vii) fr(n) log2 n (viii) fs(n) 2V (ix) fo(n) n3
Problem 1: Let W(n) be the number of times "whatsup" is printed by Algorithm WHATSUP (see below) on input n. Determine the asymptotic value of W(n). Algorithm WHATSUP (n: integer) fori1 to 2n do for j 1 to (i+1)2 do print("whatsup") Your solution must consist of the following steps: (a) First express W(n) using summation notation Σ (b) Next, give a closed-form formula for W(n). (A "closed-form formula" should be a simple arithmetio expression without any summation symbols.) (c) Finally,...
Problem 1: Give the exact and asymptotic formula for the number f(n) of letters “A” printed by Algo- rithm PRINTAs below. Your solution must consist of the following steps: (a) First express f(n) using a summation notation 2 (b) Next, give a closed-form formula for f(n). (c) Finally, give the asymptotic value of the number of A's (using the O-notation.) Include justification for each step. Note: If you need any summation formulas for this problem, you are allowed to look...