MANAGEMENT INFORMATION SYSTEMS: MANAGING
16th Edition
ISBN: 9780135790939
Author: LAUDON
Publisher: PEARSON
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Expert Solution & Answer
Chapter 5, Problem 3RQ
Explanation of Solution
Evolving mobile platform:
- Business computing preferences has been shifting towards mobile devices from traditional desktop PCs.
- Several services including web surfing, instant messaging, digital content, data exchanges are available for corporates through mobile platforms.
- Now, the platform is also enabling tablets such as iPad and digital readers, and devices are being optimized to enable wireless communication.
Consumerization of IT:
- Services are built for consumer markets and for personal devices including Google products such as Google search, Gmail, Google Maps; other products such as Facebook, Twitter, Dropbox...
Explanation of Solution
Businesses benefiting from virtualization, green computing, and multicore processors:
- Virtualization leads to increased utilization of server, lowering hardware expenses, run multiple
operating systems on any individual machine, less cost on power, brings centralization of hardware management, run legacy applications in parallel with newer systems and veil server information from users. - Green computing can be supported by lowering the power usage in data centers...
Expert Solution & Answer
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Students have asked these similar questions
Design a dynamic programming algorithm for the Longest Alternating Subsequence problem
described below:
Input: A sequence of n integers
Output: The length of the longest subsequence where the numbers alternate between being larger and
smaller than their predecessor
The algorithm must take O(n²) time. You must also write and explain the recurrence.
Example 1:
Input: [3, 5, 4, 1, 3, 6, 5, 7, 3, 4]
Output: 8 ([3, 5, 4, 6, 5, 7, 3, 4])
Example 2:
Input: [4,7,2,5,8, 3, 8, 0, 4, 7, 8]
Output: 8 ([4, 7, 2, 5, 3, 8, 0,4])
(Take your time with this for the subproblem for this one)
Design a dynamic programming algorithm for the Coin-change problem described below:
Input: An amount of money C and a set of n possible coin values with an unlimited supply of each
kind of coin.
Output: The smallest number of coins that add up to C exactly, or output that no such set exists.
The algorithm must take O(n C) time. You must also write and explain the recurrence.
Example 1:
Input: C24, Coin values = = [1, 5, 10, 25, 50]
Output: 6 (since 24 = 10+ 10+1+1 +1 + 1)
Example 2:
Input: C = 86, Coin values = [1, 5, 6, 23, 35, 46, 50]
Output: 2 (since 86 = 46+35+5)
Design a dynamic programming algorithm for the Longest Common Subsequence problem de-
scribed below
Input: Two strings x = x1x2 xm and y = Y1Y2... Yn
Output: The length of the longest subsequence that is common to both x and y.
.
The algorithm must take O(m n) time. You must also write and explain the recurrence.
(I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that
Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk)
Example 1:
Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw'
Output: 6 ('ghnost' is the longest common subsequence to both strings)
Example 2:
Input: x = 'ahshku' and y = ‘asu'
Output: 3 ('asu' is the longest common subsequence to both strings)
Chapter 5 Solutions
MANAGEMENT INFORMATION SYSTEMS: MANAGING
Ch. 5.3 - Prob. 1.1CQCh. 5.3 - Prob. 1.2CQCh. 5.3 - Prob. 1.3CQCh. 5.3 - Prob. 2.1CQCh. 5.3 - Prob. 2.2CQCh. 5.3 - Prob. 2.3CQCh. 5 - Prob. 1IQCh. 5 - Prob. 2IQCh. 5 - Prob. 3IQCh. 5 - Prob. 4IQ
Ch. 5 - Prob. 5IQCh. 5 - Prob. 1RQCh. 5 - Prob. 2RQCh. 5 - Prob. 3RQCh. 5 - Prob. 4RQCh. 5 - Prob. 5RQCh. 5 - Prob. 6DQCh. 5 - Prob. 7DQCh. 5 - Prob. 8DQCh. 5 - Prob. 9HMPCh. 5 - Prob. 10HMPCh. 5 - Prob. 11HMPCh. 5 - Prob. 12HMPCh. 5 - Prob. 14CSQCh. 5 - Prob. 15CSQCh. 5 - Prob. 16CSQCh. 5 - Prob. 17CSQCh. 5 - Prob. 18MLMCh. 5 - Prob. 19MLM
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