Introduction to Algorithms
Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 31, Problem 3P

a.

Program Plan Intro

To show that the running time of the straightforward recursive method for computing Fn based on recurrence is exponential in n .

b.

Program Plan Intro

To show how to compute Fn in O(n) time using memorization.

c.

Program Plan Intro

To show how to compute Fn in O(lgn) time using only integer addition and multiplication.

d.

Program Plan Intro

To find the running time of these three methods under the more reasonable cost measure for the elementary arithmetic operations.

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Recall that in the deterministic approach for choosing the pivot in the SELECT algorithm, first we split the elements of the array into groups of size 5. We want to see how the running time of SELECT changes by varying the size of groups. Consider the following cases: (a) Split the array into groups of size 3 (b) Split the array into groups of size 7 For each case, write the corresponding recursion for the running time of the SELECT algorithm, draw the corresponding recursion tree for the worst case, and use it to solve the recursion for the worst case. For full credit, your answers must use O(.) notation (You do NOT need to use strong induction to prove your result).
Another recursive algorithm is applied to some data A = (a₁, ..., am) where m = 2* (i.e. 2, 4, 8,16 ...) where x is an integer ≥ 1. The running time T is characterised using the following recurrence equations: T(1) = c when the size of A is 1 T(m) = 2T (2) + c otherwise Determine the running time complexity of this algorithm.
2. Expand the following recurrence to help you find a closed-form solution, and then use induction to prove your answer is correct. T(n) = T(n-1) + 5 for n> 0; T(0) = 8. 3. Give a recursive algorithm for the sequential search and explain its running time.
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