Let H(n) = H(n/2) + log(n). Give matching upper and lower bounds for H(n) by substitution.
H(n) = H(n/2) log(n)
Let log n = k so that 2k = n
So our Recurrence becomes
M(2k) = M(2k-1) + k
Let P(k) = M(2k). This gives us
P(k) = P(k - 1) + k
Further expanding P(k),
P(k) = P(k - 1) + k
= P(k - 2) + (k - 1) + k
= P(k - 3) + (k - 2) + (k - 1) + k
...
= P(0) + 1 + 2 + 3 + ... + k
= P(0) + Θ(k2)
Given P(0) is a constant, say 1 or 0
Recurrence solution becomes P(k) = Θ(k2) = Θ (log2 n) or Θ((log n)2)
Let H(n) = H(n/2) + log(n). Give matching upper and lower bounds for H(n) by substitution.
Give asymptotic upper and lower bounds for T(n). T(n) is constant for small n. Use either substitution, iteration, or the master method. 1) T(n) = T(n-5) + n 2) T(n) = 2T(n/4) + 16T(n/8) + T(n/8) + 19
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)
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...
Give asymptotic upper and lower bounds for T(n) in each of the following recurrences. Assume that T(n) is constant for sufficiently small n. Make your bounds as tight as possible, and justify your answers. T(n)=3T(n/3−2)+n/2
Give asymptotic upper bounds (in terms of O) for T(n) in each of the following recurrences. Assume that T(n) is constant for n < 2. Make your bounds as tight as posible. a) T(n)=T(H) +1; b) T(n) = T(n-1) + 1/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.
Any help on number 2 would be greatly appreciated. Thanks!
Give asymptotic upper bounds (i.e.. in O notation) for T(N) in each of the following recurrences. Assume that T(N) is constant for sufficiently small N. Make you bounds as tight as possible and justify your answers
Apply Master's Theorem to give asymptotic bounds for T(n) if
possible:
Apply Master's Theorem to give asymptotic bounds for T(n) if possible: T(n) = {1 if n = 1 4T{n/2) +n/log n if n > 1
Please proof by the substitution method, and recursive tree prove the upper bounds only. Thumbs up for the correct answer.