Consider the recurrence equation defining T(n):
T(n)=1 if n-1;
T(n)=T(n-1)+2^n Otherwise .
Show by induction T(n)=2^(n+1)-1
Consider the recurrence equation defining T(n): T(n)=1 if n-1; T(n)=T(n-1)+2^n Otherwise . Show by induction T(n)=2^(n+1)-1
Consider the recurrence T (n) = 3 · T (n/2) + n. • Use the recursion tree method to guess an asymptotic upper bound for T(n). Show your work. • Prove the correctness of your guess by induction. Assume that values of n are powers of 2.
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.
please derive the binary recurrence equation ie t(n) = t(n/2) + 1, t(1)=1 given that n is not restricted to be power of two by considering the case that n can either be an odd or even number.
Q) prove correctness the recurrence relation for case n = 2^x using a proof bt induction. T(n) if n <= 1 then ....... 0 if n > . 1 . then ............1+4T(n/2) hint : when n = 2^x each of recursive calls in a given instnace of repetitiveRecursion in on the subproblem of the smae size the equation n = j-i +1 may be helpful in expressiong the problem size in terms of parameters i and j the closed-form expression...
Need answers for 1-5
Consider the following recurrence relation: H(n) = {0 if n lessthanorequalto 0 1 if n = 1 or n = 2 H(n - 1) + H (n - 2)-H(n - 3) if n > 2. (a) Compute H(n) for n = 1, 2, ...., 10. (b) Using the pattern from part (a), guess what H(100) is. 2. Consider the recurrence relation defined in Example 3.3 (FROM TEXT BOOK, also discussed in class and shown in slides)...
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...
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...
1. Show how to explicitly solve the recurrence equation below (that is, do not simply quote the Master theorem). T(n) T(n/2) +n2, T(1) 1
1. Show how to explicitly solve the recurrence equation below (that is, do not simply quote the Master theorem). T(n) T(n/2) +n2, T(1) 1
Use mathematical induction to show that when n is an exact power of 2, the solution of the recurrence: { if n 2 2 T(n) for k> 1 if n 2 T(n) 2T(n/2) is T(n) n log
4. Suppose T (n) satisfies the recurrence equations T(n) = 2 * T( n/2 ) + 6 * n, n 2 We want to prove that T (n)-o(n * log(n)) T(1) = 3 (log (n) is log2 (n) here and throughout ). a. compute values in this table for T (n) and n*log (n) (see problem #7) T(n) | C | n * log(n) 2 4 6 b. based on the values in (a) find suitable "order constants" C and...