EBK COMPUTING ESSENTIALS 2017
26th Edition
ISBN: 8220102798533
Author: O'LEARY
Publisher: YUZU
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Expert Solution & Answer
Chapter 2, Problem 1OE
The discussions on internet and web, including their origins, the three generations
of the web, and the most common uses.
Explanation of Solution
Internet is a global network of networks, connecting millions of computers all over the globe forming a comprehensive network that can communicate to each other.
Web also referred as World Wide Web (www) is collection of web pages or information that is accessed via the internet. Web is the collection of HTML elements that are designed to display information as we want them to be.
The origin of web:
The whole infrastructure of Internet and the web began with a simple idea of J. C. R. Licklider, ARPANET. ARPANET was a switching network and the first network to implement the protocol suite such as TCP/IP. ARPANET was discovered by U. S. Department of Defence Advanced Research Projects Agency (ARPA), they used this network to connect through different associate members of the organisation for communication and information sharing...
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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 2 Solutions
EBK COMPUTING ESSENTIALS 2017
Ch. 2 - Prob. 1CCCh. 2 - Prob. 2CCCh. 2 - Prob. 3CCCh. 2 - Prob. 4CCCh. 2 - Prob. 5CCCh. 2 - Prob. 6CCCh. 2 - Prob. 7CCCh. 2 - Prob. 8CCCh. 2 - Prob. 9CCCh. 2 - Prob. 10CC
Ch. 2 - Prob. 11CCCh. 2 - Prob. 12CCCh. 2 - Prob. 13CCCh. 2 - Prob. 14CCCh. 2 - Prob. 15CCCh. 2 - Prob. 16CCCh. 2 - Prob. 17CCCh. 2 - Prob. 18CCCh. 2 - Prob. 19CCCh. 2 - Prob. 20CCCh. 2 - Prob. 21CCCh. 2 - Prob. 22CCCh. 2 - Prob. 23CCCh. 2 - Prob. 24CCCh. 2 - Prob. 25CCCh. 2 - Prob. 26CCCh. 2 - Prob. 27CCCh. 2 - Prob. 28CCCh. 2 - Prob. 29CCCh. 2 - Prob. 30CCCh. 2 - Prob. 31CCCh. 2 - Prob. 1MCCh. 2 - Prob. 2MCCh. 2 - Prob. 3MCCh. 2 - Prob. 4MCCh. 2 - Prob. 5MCCh. 2 - Prob. 6MCCh. 2 - Prob. 7MCCh. 2 - Prob. 8MCCh. 2 - Prob. 9MCCh. 2 - Prob. 10MCCh. 2 - Prob. 1MCh. 2 - Prob. 1OECh. 2 - Prob. 2OECh. 2 - Prob. 3OECh. 2 - Prob. 4OECh. 2 - Prob. 5OECh. 2 - Prob. 6OECh. 2 - Prob. 7OECh. 2 - Prob. 8OECh. 2 - Prob. 1DCh. 2 - Prob. 2DCh. 2 - Prob. 3DCh. 2 - Prob. 4D
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