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 9.3, Problem 8E
Program Plan Intro

To give an algorithm that finds the median of all 2n elements in arrays X and Y in O(lgn) time.

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Let M(n) be the minimum number of comparisons needed to sort an array A with exactly n ele- ments. For example, M(1) = 0, M(2) = 1, and M(4) = 4. If n is an even number, clearly explain why M(n) = 2M(n/2) + n/2.
The following algorithm returns the position of the largest element in the array S. Write a recurrence equation for the number of comparisons tn needed to find the largest element. Use induction to show that the equation has the solution tn = n − 1. The top-level call is max position (1, n).
1.Write a Θ(n) algorithm that sorts n distinct integers, ranging in size between 1 and kn inclusive, where k is a constant positive integer. (Hint: Use a knelement array.) 2.Algorithm A performs 10n 2 basic operations, and algorithm B performs 300 ln n basic operations. For what value of n does algorithm B start to show its better performance? 3. There are two algorithms called Alg1 and Alg2 for a problem of size n. Alg1 runs in n 2 microseconds and Alg2 runs in 100n log n microseconds. Alg1 can be implemented using 4 hours of programmer time and needs 2 minutes of CPU time. On the other hand, Alg2 requires 15 hours of programmer time and 6 minutes of CPU time. If programmers are paid 20 dollars per hour and CPU time costs 50 dollars per minute, how many times must a problem instance of size 500 be solved using Alg2 in order to justify its development
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