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1. [12 marks] For each of the following recurrences, use the “master theorem” and give 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
4. (20 points) For each of the following recurrences, give an expression for the runtime T(n) if the recurrence can be solved with the Master Theorem. Otherwise, explain why the Master Theorem does not apply. Justify your answer (1) T(n) = 3n T(n) + n3 (2) T(n)-STC)VIOn* (3 Tn)T)+ n logn (4) T(n) T(n-1) + 2rn (5) T(n) 16TG)+n2
Algorithms: Please explain each step! Thanks! (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...
Master Theorem : Use the master theorem to give tight asymptotic bounds for the following recurrences b) ?(?) = 2? ( ?/2 ) + ?(? ^ 2 )
Give asymptotic upper and lower bounds for T(n) in each of the following recurrences. Assume that T(n) is constant for n≤2. Make your bounds as tight as possible, and justify your answer. *Hint : You can use Master method to obtain Θ(.). (a) T(n) = 4T(n/4) + 5n (b) T(n) = 4T(n/5) + 5n (c) T(n) = 5T(n/4) + 4n (d) T(n) = 25T(n/5) + n^2 (e) T(n) = 4T(n/5) + lg n (f) T(n) = 4T(n/5) + lg^5 n...
Course: Data Structures and Aglorithms Question 2 a) Use the substitution method (CLRS section 4.3) to show that the solution of T (n) = +1 is O(log(n)) b) Give asymptotic upper and lower bounds (Big-Theta notation) for T(n) in the following recurrence using the Master method. T (n.) = 2T (*) + vn. c) Give asymptotic upper and lower bounds (Big-Theta notation) for T(n) in the following recurrence using the Master method. T(n) = 4T (%) +nVn.
Using the Master Method give asymptotic bounds for T(n) in each of the following recurrences. Assume that T(n) is constant for n ≤ 4. (a) T(n) = 4 T(n/4) + n lg2 n (b) T(n) = 3 T(n/4) + n lg n c) T(n) = 4 T(n/5) + √? (d) T(n) = 4 T(n/2) + n2 lg n
Problem 1 Use the master method to give tight asymptotic bounds for the following recurrences. a) T(n) = T(2n/3) +1 b) T(n) = 2T("/2) +n4 c) T(n) = T(71/10) +n d) T(n) = 57(n/2) + n2 e) T(n) = 7T(1/2) + 12 f) T(n) = 27(1/4) + Vn g) T(n) = T(n − 2) +n h) T(n) = 27T(n/3) + n° lgn
Give asymptotic upper and lower bounds for T(n) in each of the following recurrences. Assume that T(n) is constant for n ≤ 3. Make your bounds as tight as possible, and justify your answers. 5.a T(n) = 2T(n/3) + n lg n 5.b T(n) = 7T(n/2) + n3 5.c T(n) = 3T(n/5) + lg2 n
Give asymptotic upper and lower bounds for T(n)in each of the following recurrences. Assume that T(n)is constant forn≤10. Make your bounds as tight as possible, and justify your answers. 1.T(n)=3T(n/5) +lg^2(n) 2.T(n)=T(n^.5)+Θ(lglgn) 3.T(n)=T(n/2+n^.5)+√6046 4.T(n) =T(n/5)+T(4n/5) +Θ(n)