T(n) = aT(n/b)+O(nd)
T(n) = 4T(n/2) + 5nlogn
a = 4, b = 2, d = ? <----I don't know how to find d
If d > logba, then T(n) = O(nd)
If d = logba, then T(n) = O(nd logn)
If d < logba, then T(n) = O(nlogba)
Strange Sort In a dumpster outside MEB, I found a scrap of paper with this Java implementation of a sorting algorithm on it: // This will get me the Turing Award for sure!! public static void sort (int[] A) { sort (A, O, A.length); // Sorts the subarray Allo .. hi-1] into ascending order private static void sort (int[] a, int lo, int hi) { int size = hi - lo; if (size == 2) { if (A[lo] > A[10+1])...
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
7. What is the worst-case running time complexity of an algorithm with the recurrence relation T(N) = 2T(N/4) + O(N2)? Hint: Use the Master Theorem.
Subject: Algorithm solve only part 4 and 5 please. need urgent. 1 Part I Mathematical Tools and Definitions- 20 points, 4 points each 1. Compare f(n) 4n log n + n and g(n)-n-n. Is f E Ω(g),fe 0(g), or f E (9)? Prove your answer. 2. Draw the first 3 levels of a recursion tree for the recurrence T(n) 4T(+ n. How many levels does it have? Find a summation for the running time. (Extra Credit: Solve it) 3. Use...
given the following recurrence find the growth rate of t(n) using master theorem T(n) = 16(T) n/2 + 8n^4 + 5n^3 + 3n+ 24 with T(1) = Theta(1)
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...
3. (20 pts.) You are given two sorted lists of numbers with size m and n. Give an O(logn+ logm) time algorithm for computing the k-th smallest element in the union of the two lists. 4. (20 pts.) Solve the following recurrence relations and give a bound for each of them. CMPSC 465, Fall 2019, HW 2 (a) T(n) = 117(n/5)+13n!.3 (b) T(n) = 2T (n/4)+nlogn (c) T(n) = 5T (n/3) +log-n (d) T(n) = T(n/2) +1.5" (e) T(n) =...
Solve the following using iteration method. Note: T(1) = 1. 2. recurrences GE) T(п) 2T 2.1 3 Т(п) 2T (п — 2) + 5 2.2 Solve the following using Master Theorem. 3. recurrenсes T(п) log n n 4T .3 3.1 n 5T 2 n2 log n T(п) 3.2 Solve the following using iteration method. Note: T(1) = 1. 2. recurrences GE) T(п) 2T 2.1 3 Т(п) 2T (п — 2) + 5 2.2 Solve the following using Master Theorem. 3....
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...
Solve the recurrence relations: T(n) = 4T(n/2)+1 when n>2 and T(n) = 1 when n = 2. T(n) = 4T(n/4)+1 when n>4 and T(n) = 1 when n = 4