Web Development and Design Foundations with HTML5 (8th Edition)
8th Edition
ISBN: 9780134322759
Author: Terry Felke-Morris
Publisher: PEARSON
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Expert Solution & Answer
Chapter 11, Problem 2FWD
Explanation of Solution
Flash:
“Adobe Flash” is a multimedia software application, which is used to add visual interactivity to web pages using multimedia effects like slide shows and animations.
- Developers are valued to use flash because it consider as effective software for advertising.
Flash files are self-contained and independent from cross browser issues. It is one of the great advantages of flash for the developers.
The Flash player browser plugin is most commonly installed section of software; because it is cross platform.
Users may disable the Flash by default for avoiding animation advertisements...
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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 11 Solutions
Web Development and Design Foundations with HTML5 (8th Edition)
Ch. 11.3 - Prob. 1CPCh. 11.3 - Prob. 2CPCh. 11.3 - Prob. 3CPCh. 11.7 - Prob. 1CPCh. 11.7 - Prob. 2CPCh. 11.7 - Prob. 3CPCh. 11.11 - Prob. 1CPCh. 11.11 - Prob. 2CPCh. 11.11 - Prob. 3CPCh. 11 - Prob. 1MC
Ch. 11 - Prob. 2MCCh. 11 - Prob. 3MCCh. 11 - Prob. 4MCCh. 11 - Prob. 5MCCh. 11 - Prob. 6MCCh. 11 - Prob. 7MCCh. 11 - Prob. 8MCCh. 11 - A file that contains a Flash animation uses the...Ch. 11 - Prob. 10MCCh. 11 - Prob. 11FIBCh. 11 - Prob. 12FIBCh. 11 - Prob. 13FIBCh. 11 - When displaying a Java applet, the browser invokes...Ch. 11 - Prob. 15FIBCh. 11 - Prob. 16SACh. 11 - Prob. 17SACh. 11 - Prob. 1AYKCh. 11 - Prob. 2AYKCh. 11 - Prob. 3AYKCh. 11 - Prob. 1HOECh. 11 - Prob. 2HOECh. 11 - Prob. 3HOECh. 11 - Prob. 4HOECh. 11 - Prob. 5HOECh. 11 - Prob. 6HOECh. 11 - Prob. 7HOECh. 11 - Prob. 1WRCh. 11 - Prob. 2WRCh. 11 - Prob. 3WRCh. 11 - Prob. 4WRCh. 11 - Prob. 1FWDCh. 11 - Prob. 2FWD
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