Algorithms:
5) Is n^2 = Ω(nlog(n))? Show and prove (explain briefly in both cases; and if yes, show the proof and derive c and no).
f(n) = Ω(g(n)) means there are positive constants c and n0, such that f(n) >= cg(n) for all n ≥ n0 n^2 = Ω(nlog(n)) => n^2 >= c(nlog(n)) Let's assume c = 1 => n^2 >= c(nlog(n)) => n^2 >= 1(nlog(n)) => n^2 >= nlog(n) => n >= log(n) This above equation is true, for all n >= 1 so, n^2 = Ω(nlog(n)) for c = 1 and n0 = 1
Algorithms: 5) Is n^2 = Ω(nlog(n))? Show and prove (explain briefly in both cases; and if...
Can inductive logic be used to prove a mathematical theorem? Explain. A. Yes, since sufficiently many test cases can constitute a proof. B. No, since test cases never constitute a proof. C. Yes, since all mathematical proofs are inductive arguments. D. No, since test cases are never enough to satisfy yourself of a rule's truth.
Algorithm problem 5 [3.2-3] Prove equation (3.19). Also prove that n!∈ω(2n) and n!∈o(n^n).
algorithms & data structures-1 answer and explain briefly . 4. For the following recursive function, findf (5): int f(int n) if (n 0) return 0; else return n f(n - 1);
Prove the below statement for n>=2 and 1 <= j <=n 2^n >= (n(n-1)...(n-j+1))/j! Please explain with a detailed proof, thanks
Prove by Induction 24.) Prove that for all natural numbers n 2 5, (n+1)! 2n+3 b.) Prove that for all integers n (Hint: First prove the following lemma: If n E Z, n2 6 then then proceed with your proof.
5. Σ cosh -1 6. Σ n=2 logn n 7. Σ πιο +1) nlog(n+1) n=1 n=2 8.Σ (n!)?(2η)!(3n51 - 43n10)18" η" (3η)! nel
Provide an ? N proof to prove that the following sequences converge. Question (e), please. 5. Provide an e – N proof to prove that the following sequences converge. (a) {ne cos(n)} (b) {zo Bom} (c) {(-1)In (n)} (d) an = 2 + 1 (@) an = V1 -
Let f(n) = 5n^2. Prove that f(n) = O(n^3). Let f(n) = 7n^2. Prove that f(n) = Ω(n). Let f(n) = 3n. Prove that f(n) =ꙍ (√n). Let f(n) = 3n+2. Prove that f(n) = Θ (n). Let k > 0 and c > 0 be any positive constants. Prove that (n + k)c = O(nc). Prove that lg(n!) = O(n lg n). Let g(n) = log10(n). Prove that g(n) = Θ(lg n). (hint: ???? ? = ???? ?)???? ?...
Combinatorial proof for 4^n = 2^n * 2^n (show both sides count the same thing)
Analysis of Algorithms Fall 2013 Do any (4) out of the following (5) problems 1. Assume n-3t is a power of 3 fork20. Solve accurately the following recursion. If you cannot find the exact solution, use the big-O notation. Tu) T(n)Tin/3)+2 2. Suppose that you have 2 differeut algorithms to solve a giveu probleen Algorithm A has worst-case time complexity e(n2) and Algorithm B has worst-case time complexity e(nlog n). Which of the following statements are true and which are...