
1. Chapter 4. State the Master Theorem. What is given? Explain what a and b are.
Algorithms:
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(20 points) Use the Master Theorem to solve the following recurrence relations. For each recurrence, either give the asympotic solution using the Master Theorem (state which case), or else state the Master Theorem doesn't apply (d) T(n) T() + T (4) + n2
(20 points) Use the Master Theorem to solve the following recurrence relations. For each recurrence, either give the asympotic solution using the Master Theorem (state which case), or else state the...
5) For each of the following recurrences state whether the Master theorem can be applied to solve the recurrence or not. If the Master theorem can be used, then use it to determine running time for the recurrence. If the Master theorem cannot be applied, then specify the reason (you don't need to solve the recurrence). a) T(n) = 4T(n/3)+n2
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3. State and explain channel capacity theorem. (4 marks) a) b) The probabilities of occurrence of various letters of the English alphabet are given below: A 0.091, M 0.001, P = 0.040, X= 0.001 What letter(s) convey(s) the maximum amount of information? Compute this information content (6 marks) c) An information source is to transmit the message MALAYSIA" repeatedly. What are the codewords needed at the decoder when the message is...
1. Theorem 4.1 (Master Theorem). Let a 2 1 and b >1 be constants, let f(n) be a function, and let T(n) be defined on the nonnegative integers by the recurrences T(n)- aT(n/b) + f(n) where we take n/b to be either 1loor(n/b) or ceil(n/b). Then T(n) has the following asymptotic bounds. 1. If f(n) O(n-ss(a)-) for some constant e > 0, then T(n) = e(n(a). 2. If f(n) e(n(a), then T(n)- e(nlot(a) Ig(n)). 3. If f(n)-(n(a)+) for some constant...
1. [12 marks] For each of the following recurrences, use the “master theorem” and give the solution using big-O notation. Explain your reasoning. If the “master theorem” does not apply to a recurrence, show your reasoning, but you need not give a solution. (a) T(n) = 3T(n/2) + n lg n; (b) T(n) = 9T(3/3) + (n? / 1g n); (c) T(n) = T([n/41) +T([n/4])+ Vn; (d) T(n) = 4T([n/7])+ n.
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b) Base 7. Master Theorem (3 points) Consider the following recursive function for n >0 case: a| c) Recursive case: an Algorithm 1 int recFunc(int n) //Base Case if n <= 2 then return n; end if / /Recursive Case: while i< n do print("Hello!") end while int a 2*recFunc(n/2); return a; Find the runtime of the above recursive function using the master theorem
given the following recurrence find the growth rate of t(n) using master theorem T(n) = 16(T) n/2 + 8n^4 + 5n^3 + 3n+ 24 with T(1) = Theta(1)
4. Aliasing Effects 1. Preliminary work State the sampling theorem. For a sampling frequency of 8.3 kH,under what conditions would aliasing occur?
4. Aliasing Effects 1. Preliminary work State the sampling theorem. For a sampling frequency of 8.3 kH,under what conditions would aliasing occur?
4a. What is the converse of the Pythagorean Theorem? State it here. b. Use the Law of Cosines to prove the converse of the Pythagorean Theorem.
Question 6 (20 points) Solve the following recurrences using the Master Theorem. T(n) = 2T (3/4)+1 T(n) = 2T (n/4) + va 7(n) = 2T (n/4) +n T(n) = 2T (3/4) + n