Consider the recurrence T (n) = T (⌈n/4⌉) + T (⌈n/3⌉) + n with T (1) = 1.
12 points
(a) (4 Points) Using a recursion tree, determine a tight asymptotic upper bound on T(n).
(b) (4 Points) Prove your upper bound using induction.
(c) (4 Points) Using a suitable variable change, solve the recurrence U (n) = 3U (⌈n^(1/3) ⌉) + 7 with U(2) = 1.
Consider the recurrence T (n) = T (⌈n/4⌉) + T (⌈n/3⌉) + n with T (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.
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.
(a) Use the recursion tree method to guess tight 5 asymptotic bounds for the recurrence T(n)-4T(n/2)+n. Use substitution method to prove it.
pleas answer asap
3. (20 points) Algorithm Analysis and Recurrence There is a mystery function called Mystery(n) and the pseudocode of the algorithm own as below. Assume that n 3* for some positive integer k21. Mystery (n) if n<4 3 for i1 to 9 5 for i-1 to n 2 return 1 Mystery (n/3) Print "hello" 6 (1) (5 points) Please analyze the worst-case asymptotic execution time of this algorithm. Express the execution time as a function of the input...
Solve the recurrence relation using a recursion tree AND substitution method: T(n) = T(n-1) + 10n
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...
Solve the recurrence relation using a recursion tree AND substitution method: T(n) = 2T(n - 1) + 10n.
Consider recurrence T(n) = 2T () +n Ign. Assume T (1) = : 0(1) Draw its recursion tree using your favorite tool. Follow the instructions (regarding the tree, step 1~3) to format your tree. Level Tree Node Per-Level Cost . 1 O Step 1: Draw the "head" of the tree. Step 2: Start at level 0, draw the tree downto level 2. 2 cn 1X CP = CP Tw/2 (wa), T(1/2) 1 cn/2 cn/2 28 cm/2 = 0 T( W22)...
(5 pts.) (b) Use a recursion tree to determine a good asymptotic upper bound on the recurrence T(n) = 6T ([n/4]) + 11n. Verify your bound by the substitution method.
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.