EBK EXPERIENCING MIS,
8th Edition
ISBN: 9780134792729
Author: BOYLE
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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Chapter 3, Problem 4CE
Program Plan Intro
Porter’s competitive forces model:
- This model is mainly used to realize the competitive advantage.
- It gives the common view of the company, its competitor, and the environment of the companies.
- This model is developed regarding the company’s common business environment.
- This model contains the five competitive forces. They are as follows:
- Substitute products and services
- New market entrants
- Traditional competitors
- Suppliers
- Customers
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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 3 Solutions
EBK EXPERIENCING MIS,
Ch. 3.6 - Prob. 1SWCh. 3.6 - Prob. 2SWCh. 3.6 - Prob. 3SWCh. 3.6 - Prob. 4SWCh. 3 - Prob. 1EGDQCh. 3 - Prob. 2EGDQCh. 3 - Prob. 3EGDQCh. 3 - Prob. 4EGDQCh. 3 - Prob. 1ARQCh. 3 - Prob. 2ARQ
Ch. 3 - Prob. 3ARQCh. 3 - Prob. 4ARQCh. 3 - Prob. 5ARQCh. 3 - Prob. 6ARQCh. 3 - Prob. 1UYKCh. 3 - Prob. 2UYKCh. 3 - Prob. 3UYKCh. 3 - Prob. 4CECh. 3 - Prob. 5CECh. 3 - Prob. 6CECh. 3 - Prob. 7CECh. 3 - Prob. 8CSCh. 3 - Prob. 9CSCh. 3 - Prob. 10CSCh. 3 - Prob. 11CSCh. 3 - Prob. 12CSCh. 3 - Prob. 13CSCh. 3 - Prob. 14CSCh. 3 - Prob. 15CSCh. 3 - Prob. 16CSCh. 3 - Prob. 17MLMCh. 3 - Prob. 18MLM
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