Fundamentals of Information Systems
Fundamentals of Information Systems
9th Edition
ISBN: 9781337097536
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Chapter 7, Problem 1WE
Program Plan Intro

Different functions of OpenText Process Suite to assist Customer Relationship Management Systems.

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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 7 Solutions

Fundamentals of Information Systems

Ch. 7 - Prob. 1.2RQCh. 7 - Prob. 1.1CTQCh. 7 - Prob. 1.2CTQCh. 7 - Prob. 2.1RQCh. 7 - Prob. 2.2RQCh. 7 - Prob. 2.1CTQCh. 7 - Prob. 2.2CTQCh. 7 - Prob. 3.1RQCh. 7 - Prob. 3.2RQCh. 7 - Prob. 3.1CTQCh. 7 - Prob. 3.2CTQCh. 7 - What sort of training and experience is needed by...Ch. 7 - Prob. 4.2RQCh. 7 - Prob. 4.1CTQCh. 7 - Prob. 4.2CTQCh. 7 - Prob. 1SATCh. 7 - Prob. 2SATCh. 7 - Prob. 3SATCh. 7 - Prob. 4SATCh. 7 - Prob. 5SATCh. 7 - Prob. 6SATCh. 7 - Prob. 7SATCh. 7 - Prob. 8SATCh. 7 - Prob. 9SATCh. 7 - Prob. 10SATCh. 7 - Prob. 11SATCh. 7 - Prob. 12SATCh. 7 - Prob. 13SATCh. 7 - Prob. 14SATCh. 7 - Prob. 15SATCh. 7 - Prob. 16SATCh. 7 - Prob. 17SATCh. 7 - Prob. 1RQCh. 7 - Prob. 2RQCh. 7 - Prob. 3RQCh. 7 - Prob. 4RQCh. 7 - Prob. 5RQCh. 7 - Prob. 6RQCh. 7 - Prob. 7RQCh. 7 - Prob. 8RQCh. 7 - Prob. 9RQCh. 7 - Prob. 10RQCh. 7 - Prob. 11RQCh. 7 - Prob. 12RQCh. 7 - Prob. 13RQCh. 7 - Prob. 14RQCh. 7 - Prob. 15RQCh. 7 - Prob. 16RQCh. 7 - Prob. 17RQCh. 7 - Prob. 18RQCh. 7 - Prob. 19RQCh. 7 - Prob. 20RQCh. 7 - Prob. 21RQCh. 7 - Prob. 22RQCh. 7 - Prob. 23RQCh. 7 - Prob. 1DQCh. 7 - Prob. 2DQCh. 7 - Prob. 3DQCh. 7 - Prob. 4DQCh. 7 - Prob. 5DQCh. 7 - Prob. 6DQCh. 7 - Prob. 7DQCh. 7 - Prob. 8DQCh. 7 - Prob. 9DQCh. 7 - Prob. 10DQCh. 7 - Prob. 11DQCh. 7 - Prob. 12DQCh. 7 - Prob. 13DQCh. 7 - Prob. 1PSECh. 7 - Prob. 2PSECh. 7 - Prob. 3PSECh. 7 - Prob. 1WECh. 7 - Prob. 2WECh. 7 - Prob. 3WECh. 7 - Prob. 1CECh. 7 - Prob. 2CECh. 7 - Prob. 3CECh. 7 - Prob. 1.1CSCh. 7 - Prob. 1.2CSCh. 7 - Prob. 1.3CSCh. 7 - Prob. 1.4CSCh. 7 - Prob. 1.5CSCh. 7 - Prob. 2.1CSCh. 7 - Prob. 2.2CSCh. 7 - Prob. 2.3CS
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