EBK EXPERIENCING MIS,
8th Edition
ISBN: 9780134792729
Author: BOYLE
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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Chapter 5, Problem 3ARQ
Explanation of Solution
Acronym of DBMS and its functions:
The Acronym of DBMS is specified as
- Data storage management
- Data manipulation management
- Data Dictionary
- Backup process management
- Transaction management
- Security management
- Data integrity management
DBMS products:
The five popular database management system products are,
- Microsoft SQL server
- IBM DB2
- MySQL
- MariaDB enterprise
- SAP Sybase ASE
Difference between DBMS and Database:
| DBMS | Database |
| It is an collection of data in an organized manner and a collection of database is said to be database management system | The database is an set of records, fields and the cells of data |
| It contains query processing software and the storage management software | It contains data and schema |
| It is an tool used to manipulate the data | The database is used as shorthand for database management system... |
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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
EBK EXPERIENCING MIS,
Ch. 5.3 - Prob. 1SWCh. 5.3 - Prob. 2SWCh. 5.3 - Prob. 3SWCh. 5.3 - Prob. 4SWCh. 5 - Prob. 1EGDQCh. 5 - Prob. 2EGDQCh. 5 - Prob. 3EGDQCh. 5 - Prob. 4EGDQCh. 5 - Prob. 5EGDQCh. 5 - Prob. 6EGDQ
Ch. 5 - Prob. 7EGDQCh. 5 - Consider the adage Never ask a question for which...Ch. 5 - Prob. 1ARQCh. 5 - Prob. 2ARQCh. 5 - Prob. 3ARQCh. 5 - Prob. 4ARQCh. 5 - Prob. 5ARQCh. 5 - Prob. 6ARQCh. 5 - Prob. 1UYKCh. 5 - Prob. 2UYKCh. 5 - Prob. 3UYKCh. 5 - Study Figure 5-17 to understand the entities and...Ch. 5 - Working with your team, develop a list of seven...Ch. 5 - Modify the E-R model in Figure 5-17 to include a...Ch. 5 - Discuss the advantages and disadvantages of the...Ch. 5 - Transform the data model in Figure 5-17 into a...Ch. 5 - Prob. 9CECh. 5 - Fill your database with sample data. Because you...Ch. 5 - Prob. 11CECh. 5 - Prob. 12CSCh. 5 - Prob. 13CSCh. 5 - Prob. 14CSCh. 5 - Prob. 15CSCh. 5 - Prob. 16CSCh. 5 - Prob. 17CSCh. 5 - Prob. 18CSCh. 5 - Prob. 19MMLCh. 5 - Prob. 20MLM
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