1. Solve the recurrence relation T(n) = 2T(n/2) + n, T(1) = 1 and prove your result is correct by induction. What is the order of growth?
2. I will give you a shortcut for solving recurrence relations like the previous problem called the Master Theorem. Suppose T(n) = aT(n/b) + f(n) where f(n) = Θ(n d ) with d≥0. Then T(n) is:
• Θ(n d ) if a < bd
• Θ(n d lg n) if a = b d
• Θ(n logb (a) ) if a > bd
Use the Master Theorem to solve the previous problem, explaining what the values are for a, b and d, as well as the order of growth.
1. Solve the recurrence relation T(n) = 2T(n/2) + n, T(1) = 1 and prove your...
Algorithm Question: Problem 3. Solve the recurrence relation T(n) = 2T(n/2) + lg n, T(1) 0.
r the recurrence relation o. Consider T(n) = Vn T(Vn) + n a. Why can't you solve this with the master theorem? b. S t involves a constant C, tell me what it is in terms of T(O), T(1), or whatever your inequality by induction. Show the base case. Then show the how that T( n)= 0(n lg ig n). First, clearly indicate the inequality that you wish to hen proceed to prove the inductive hypothesis inductive case, and clearly...
Solve the recurrence relation T(n) = 2T(n / 2) + 3n where T(1) = 1 and k n = 2 for a nonnegative integer k. Your answer should be a precise function of n in closed form. An asymptotic answer is not acceptable. Justify your solution.
Solve the recurrence relation using a recursion tree AND substitution method: T(n) = 2T(n - 1) + 10n.
6. Consider the recurrence relation T(n) = 2T(n-1) + 5 for integers n 1 and T(O) = 0. Find a closed-form solution Using induction, prove your solution correct for all integers n 20.
Solve the following recurrence relation without using the master method! report the big O 1. T(n) = 2T(n/2) =n^2 2. T(n) = 5T(n/4) + sqrt(n)
*algorithm analysis and design* Solve the following recurrence relation T(n) = Tỉn/2) + 1 Using: 1-Recurrence Tree. 2-Master Therom.
7. What is the worst-case running time complexity of an algorithm with the recurrence relation T(N) = 2T(N/4) + O(N2)? Hint: Use the Master Theorem.
Using the Master Theorem discussed in class, solve the following recurrence relations asymptotically. Assume T(1) = 1 in all cases. (a) T(n) = T(9n/10) + n (b) T(n) = 16T(n/4) + n^2 (c) T(n) = 7T(n/3) + n^2 (d) T(n) = 7T(n/2) + n^2 (e) T(n) = 2T(n/4) + √n log^2n.
Solve the recurrence relation T(n)=T(n1/2)+1 and give a Θ bound. Assume that T (n) is constant for sufficiently small n. Can you show a verification of the recurrence relation? I've not been able to solve the verification part so far note: n1/2 is square root(n)