please be clear with the steps taken and
understandable 
1.
Since fi(n) = Θ(n2), this means
0 <= c1.n2 <= fi(n) <= c2.n2 where c1 and c2 are positive constants.
Multiplying this equation with n, we get
0 <= c1.n2 * n <= n * fi(n) <= c2.n2 * n
or, 0 <= c1.n3 <=
<= c2.n3
Hence,
= Θ(n3) (proved)
2.
Given that fi(n) = Θ(n), this means that
0 <= c1*n <= fi(n) <= c2*n where c1 and c2 are positive constants.
Let fi(i) = c*n where c1<= c <= c2
Now, ∑ i*fi(n) = (1 + 2 + 3 + ..... + n) * c * n = c * n * (n2 + n)/2 = c * (n3/2 + n2/2)
Clearly, for c1 = c and c2 = 2c and n >= 0, we have
0 <= c1*n3 <= c * (n3/2 + n2/2) <= c3 * n3
Hence, ∑ i*fi(n = Θ(n3)
please be clear with the steps taken and understandable 1. Prove that if f(n) = Θ(n2)...
Formal Definitions of Big-Oh, Big-Theta and Big-Omega:
1. Use the formal definition of Big-Oh to prove that if f(n) is a decreasing function, then f(n) = 0(1). A decreasing function is one in which f(x1) f(r2) if and only if xi 5 r2. You may assume that f(n) is positive evervwhere Hint: drawing a picture might make the proof for this problem more obvious 2. Use the formal definition of Big-Oh to prove that if f(n) = 0(g(n)) and g(n)...
1. a) Let f(n) = 6n2 - 100n + 44 and g(n) =
0.5n3 . Prove that f(n) = O(g(n)) using the definition
of Big-O notation. (You need to find constants c and n0).
b) Let f(n) = 3n2 + n and g(n) = 2n2 . Use
the definition of big-O notation to prove that
f(n) = O(g(n)) (you need to find constants c and n0) and
g(n) = O(f(n)) (you need to find constants c and n0).
Conclude that...
Please show your steps and explain how you got your answer!
Prove that if fi (n)-Θ(m2) for all f. (m), then Ís(n)-6(n3).
a) Prove that running time T(n)=n3+30n+1 is O(n3) [1 mark] b) Prove that running time T(n)=(n+30)(n+5) is O(n2) [1 mark] c) Count the number of primitive operation of algorithm unique1 on page 174 of textbook, give a big-Oh of this algorithm and prove it. [2 mark] d) Order the following function by asymptotic growth rate [2 mark] a. 4nlogn+2n b. 210 c. 3n+100logn d. n2+10n e. n3 f. nlogn
Please show all steps.
Prove that if f1(n) = N2(91(n)) and f(n) = 12(92(n)), then f1(n) + f2(n) = N(91(n) +g2 (n))
if possible solve part d in detail.
a) fi(n) n2+ 45 n log n b) f:(n)-1o+ n3 +856 c) f3(n) 16 vn log n 2. Use the functions in part 1 a) Isfi(n) in O(f(n)), Ω(fg(n)), or Θ((6(n))? b) Isfi(n) in O(f(n)), Ω(f,(n)), or Θ((fs(n))? c) Ísf3(n) in O(f(n)), Ω(f(n)), or Θ(f(n))? d) Under what condition, if any, would the "less efficient" algorithm execute more quickly than the "more efficient" algorithm in question c? Explain Give explanations for your answers...
1 question) Arrange the following in the order of their growth rates, from least to greatest: (5 pts) n3 n2 nn lg n n! n lg n 2n n 2 question)Show that 3n3 + n2 is big-Oh of n3. You can use either the definition of big-Oh (formal) or the limit approach. Show your work! (5 pts.) 3 question)Show that 6n2 + 20n is big-Oh of n3, but not big-Omega of n3. You can use either the definition of big-Omega...
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,...
ONLY THE LAST ONE (4) . DISCRETE MATH
Problem 1: Show that f(n) = (n + 2) log2(n+ 1) + log2 (n3 + 1) is O(n log2 n). Problem 2: Prove that x? + 7x + 2 is 12(x°). Problem 3: Prove that 5x4 + 2x} – 1 is ©(x4). Problem 4: Find all pairs of functions in the following list that are of the same order: n2 + logn, 21 + 31, 100n3 +n2, n2 + 21, n? +...
(1) Let f be a multiplicative function satisfying Σ f(d)-n/0(n), where the sum is taken over all positive divisors of n, and ф is Euler's totient function. Use the Mobius inversion formula to prove that f(n) ."(n)/0(n)
(1) Let f be a multiplicative function satisfying Σ f(d)-n/0(n), where the sum is taken over all positive divisors of n, and ф is Euler's totient function. Use the Mobius inversion formula to prove that f(n) ."(n)/0(n)