EBK ESSENTIALS OF MIS
12th Edition
ISBN: 8220101459305
Author: LAUDON
Publisher: PEARSON
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Expert Solution & Answer
Chapter 7, Problem 2RQ
Explanation of Solution
- Computer networks is defined as two or more computers used to communicate with each other.
- Group of computers can share resources and information through networks.
- The important part of the modern world is the computer networks, because internet is based on computer networks only.
Type of computer networks:
There are three types of computer networks. They are:
- LAN (Local Area Network)
- MAN (Metropolitan Area Network)
- WAN (Wide Area Network)
Signal:
The signal is generally signifies the electromagnetic or electrical encoding of data. For transferring data from one location to another location the signal is used.
There are two types of signals:
- Analog signal
- Digital signal
The signals which are in and around us are in the form of analog signal...
Explanation of Solution
Difference between LAN, MAN and WAN:
| LAN | MAN | WAN |
| Within a small area a network that is used to connect the computers is called as LAN (Local Area Network). |
Within several buildings in a same city a network that connects the computer is called as MAN (Metropolitan Area Network). | The large geographical area must be connected via WAN (Wide Area Network). |
|
In the small areas, the LAN gives an interface between the computers and shares some of the resources. |
It is a collection of numerous LANs and executed using high backbone methods such as fiber optical cable... |
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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)
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