Consider the recurrence T (n) = 3 · T (n/2) + n.
• 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...
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.
(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.
draw the first 3 levels of a recursion tree for the recurrence T(n) = 4T(n/2) + n. How many levels does it have? Find a summation for the running time and solve for it.
Solve the recurrence relation using a recursion tree AND substitution method: T(n) = T(n-1) + 10n
Solve the recurrence relation using a recursion tree AND substitution method: T(n) = 2T(n - 1) + 10n.
3. (20 points) Consider the recurrence To - 316-3 +770-2 where T = r = 2. Use Constructive Mathematical Induction to derive an upper bound for Tr. Assume that r. saba Primarily upper bound b as tightly as possible, and secondarily upper bound a as tightly as possible (a) What do you learn from the Base Case? (b) State the Inductive Hypothesis. (e) Show the Inductive Step. (d) Derive the constants. (e) State the final result.
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)...
Consider the Catalan numbers P(n) described here Show a recursion-dependence tree for P(5) according to the recurrence relation. Design a bottom-up dynamic programming algorithm to compute P(n) based on the recurrence relation (without using the formula P(n) = (2n−2)!/(n!(n−1)!)). Analyze its asymptotic runtime efficiency. Design a top-down memoized algorithm to compute P(n) based on the recurrence relation (without using the formula P(n) = (2n−2)!/(n!(n−1)!)). Analyze its asymptotic runtime efficiency.
(Weight: 3090) Use substitution, summation, or recursion tree method to solve the f ollowi recurrence relations. (a) T(n) = 2T(n/2) + nign (b) T(n) 2T(n-1)+5" 7(0) = 8