Business Driven Technology
6th Edition
ISBN: 9780073376905
Author: Paige Baltzan Instructor
Publisher: McGraw-Hill Education
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Expert Solution & Answer
Chapter B, Problem B5.4CCT
Explanation of Solution
Additional types of network security recommend for a bank to implement:
- One method of security that banks could implement is it would send security code as two parts.
- One code should be send to the user’s email account and another to the user’s mobile device.
- In order to access the account by the user, both the codes should be required...
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 B Solutions
Business Driven Technology
Ch. B - Prob. B1.1CCOCh. B - Prob. B1.2CCOCh. B - Prob. B1.3CCOCh. B - Prob. B1.4CCOCh. B - Prob. B1.1CCTCh. B - Prob. B1.2CCTCh. B - Prob. B1.3CCTCh. B - Prob. B1.4CCTCh. B - Prob. B1.5CCTCh. B - Prob. B1.6CCT
Ch. B - Prob. B1.1MBDCh. B - Prob. B1.2MBDCh. B - Prob. B1.3MBDCh. B - Prob. B1.4MBDCh. B - Prob. B1.5MBDCh. B - Prob. B1.6MBDCh. B - Prob. B2.1CCOCh. B - Prob. B2.2CCOCh. B - Prob. B2.3CCOCh. B - Prob. B2.1CCTCh. B - Prob. B2.2CCTCh. B - Prob. B2.3CCTCh. B - Prob. B2.4CCTCh. B - Prob. B2.5CCTCh. B - Prob. B2.1MBDCh. B - Prob. B2.2MBDCh. B - Prob. B2.3MBDCh. B - Prob. B2.4MBDCh. B - Prob. B3.1CCOCh. B - Prob. B3.2CCOCh. B - Prob. B3.3CCOCh. B - Prob. B3.4CCOCh. B - Prob. B3.1CCTCh. B - Prob. B3.2CCTCh. B - Prob. B3.3CCTCh. B - Prob. B3.4CCTCh. B - Prob. B3.1MBDCh. B - Prob. B4.1CCOCh. B - Prob. B4.2CCOCh. B - Prob. B4.3CCOCh. B - Prob. B4.4CCOCh. B - Prob. B4.5CCOCh. B - Prob. B4.6CCOCh. B - Prob. B4.1CCTCh. B - Prob. B4.2CCTCh. B - Prob. B4.3CCTCh. B - Prob. B4.4CCTCh. B - Prob. B4.5CCTCh. B - Prob. B4.1MBDCh. B - Prob. B4.2MBDCh. B - Prob. B4.3MBDCh. B - Prob. B4.4MBDCh. B - Prob. B5.1CCOCh. B - Prob. B5.2CCOCh. B - Prob. B5.3CCOCh. B - Prob. B5.4CCOCh. B - Prob. B5.5CCOCh. B - Prob. B5.1CCTCh. B - Prob. B5.2CCTCh. B - Prob. B5.4CCTCh. B - Prob. B5.5CCTCh. B - Prob. B5.1MBDCh. B - Prob. B5.2MBDCh. B - Prob. B5.3MBDCh. B - Prob. B5.4MBDCh. B - Prob. B5.5MBDCh. B - Prob. B5.6MBDCh. B - Prob. B6.1CCOCh. B - Prob. B6.2CCOCh. B - Prob. B6.3CCOCh. B - Prob. B6.4CCOCh. B - Prob. B6.5CCOCh. B - Prob. B6.1CCTCh. B - Prob. B6.2CCTCh. B - Prob. B6.3CCTCh. B - Prob. B6.4CCTCh. B - Prob. B6.5CCTCh. B - Prob. B6.1MBDCh. B - Prob. B6.2MBDCh. B - Prob. B6.3MBDCh. B - Prob. B6.4MBDCh. B - Prob. B7.1CCOCh. B - Prob. B7.2CCOCh. B - Prob. B7.3CCOCh. B - Prob. B7.4CCOCh. B - Prob. B7.5CCOCh. B - Prob. B7.6CCOCh. B - Prob. B7.7CCOCh. B - Prob. B7.1CCTCh. B - Prob. B7.2CCTCh. B - Prob. B7.3CCTCh. B - Prob. B7.4CCTCh. B - Prob. B7.1MBDCh. B - Prob. B7.2MBDCh. B - Prob. B7.3MBDCh. B - Prob. B7.4MBDCh. B - Prob. B8.1CCOCh. B - Prob. B8.2CCOCh. B - Prob. B8.3CCOCh. B - Prob. B8.4CCOCh. B - Prob. B8.5CCOCh. B - Prob. B8.6CCOCh. B - Prob. B8.1CCTCh. B - Prob. B8.2CCTCh. B - Prob. B8.3CCTCh. B - Prob. B8.1MBDCh. B - Prob. B8.2MBDCh. B - Prob. B9.1CCOCh. B - Prob. B9.2CCOCh. B - Prob. B9.3CCOCh. B - Prob. B9.4CCOCh. B - Prob. B9.1CCTCh. B - Prob. B9.2CCTCh. B - Prob. B9.3CCTCh. B - Prob. B9.4CCTCh. B - Prob. B9.5CCTCh. B - Prob. B9.1MBDCh. B - Prob. B9.2MBDCh. B - Prob. B9.3MBDCh. B - Prob. B9.4MBDCh. B - Prob. B9.5MBDCh. B - Prob. B9.6MBDCh. B - Prob. B10.1CCOCh. B - Prob. B10.2CCOCh. B - Prob. B10.3CCOCh. B - Prob. B10.4CCOCh. B - Prob. B10.5CCOCh. B - Prob. B10.6CCOCh. B - Prob. B10.7CCOCh. B - Prob. B10.8CCOCh. B - Prob. B10.1CCTCh. B - Prob. B10.2CCTCh. B - Prob. B10.3CCTCh. B - Prob. B10.4CCTCh. B - Prob. B10.5CCTCh. B - Prob. B10.1MBDCh. B - Prob. B10.2MBDCh. B - Prob. B10.3MBDCh. B - Prob. B10.4MBDCh. B - Prob. B10.5MBDCh. B - Prob. B11.1CCOCh. B - Prob. B11.2CCOCh. B - Prob. B11.3CCOCh. B - Prob. B11.1CCTCh. B - Prob. B11.2CCTCh. B - Prob. B11.3CCTCh. B - Prob. B11.4CCTCh. B - Prob. B11.1MBDCh. B - Prob. B11.2MBDCh. B - Prob. B11.3MBDCh. B - Prob. B11.4MBDCh. B - Prob. B12.1CCOCh. B - Prob. B12.2CCOCh. B - Prob. B12.3CCOCh. B - Prob. B12.4CCOCh. B - Prob. B12.1CCTCh. B - Prob. B12.2CCTCh. B - Prob. B12.3CCTCh. B - Prob. B12.1MBDCh. B - Prob. B12.2MBDCh. B - Prob. B12.3MBDCh. B - Prob. B12.4MBDCh. B - Prob. B12.5MBDCh. B - Prob. B12.6MBD
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