Discovering Computers ©2018: Digital Technology, Data, and Devices
Discovering Computers ©2018: Digital Technology, Data, and Devices
1st Edition
ISBN: 9781337285100
Author: Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Jennifer T. Campbell, Mark Frydenberg
Publisher: Cengage Learning
Expert Solution & Answer
Book Icon
Chapter 8, Problem 22SG

Explanation of Solution

Universal serial bus (USB) flash drives:

USB flash drive is also referred to as a thumb drive, which is a storage device that is connected in a port on a system or any mobile devices to transfer data from one device to another device.

USB flash drives are more suitable for “mobiles users”...

Blurred answer
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 8 Solutions

Discovering Computers ©2018: Digital Technology, Data, and Devices

Ch. 8 - Prob. 11SGCh. 8 - Prob. 12SGCh. 8 - Prob. 13SGCh. 8 - Prob. 14SGCh. 8 - Prob. 15SGCh. 8 - Prob. 16SGCh. 8 - Prob. 17SGCh. 8 - Prob. 18SGCh. 8 - Prob. 19SGCh. 8 - Prob. 20SGCh. 8 - Prob. 21SGCh. 8 - Prob. 22SGCh. 8 - Prob. 23SGCh. 8 - Prob. 24SGCh. 8 - Prob. 25SGCh. 8 - Prob. 26SGCh. 8 - Prob. 27SGCh. 8 - Prob. 28SGCh. 8 - Prob. 29SGCh. 8 - Prob. 30SGCh. 8 - Prob. 31SGCh. 8 - Prob. 32SGCh. 8 - Prob. 33SGCh. 8 - Prob. 34SGCh. 8 - Prob. 35SGCh. 8 - Prob. 36SGCh. 8 - Prob. 37SGCh. 8 - Prob. 38SGCh. 8 - Prob. 39SGCh. 8 - Prob. 40SGCh. 8 - Prob. 41SGCh. 8 - Prob. 42SGCh. 8 - Prob. 43SGCh. 8 - Prob. 44SGCh. 8 - Prob. 45SGCh. 8 - Prob. 46SGCh. 8 - Prob. 47SGCh. 8 - Prob. 1TFCh. 8 - Prob. 2TFCh. 8 - Prob. 3TFCh. 8 - Prob. 4TFCh. 8 - Prob. 5TFCh. 8 - Prob. 6TFCh. 8 - Prob. 7TFCh. 8 - Prob. 8TFCh. 8 - Prob. 9TFCh. 8 - Prob. 10TFCh. 8 - Prob. 11TFCh. 8 - Prob. 12TFCh. 8 - Prob. 1MCCh. 8 - Prob. 2MCCh. 8 - Prob. 3MCCh. 8 - Prob. 4MCCh. 8 - Prob. 5MCCh. 8 - Prob. 6MCCh. 8 - Prob. 7MCCh. 8 - Prob. 8MCCh. 8 - Prob. 1MCh. 8 - Prob. 2MCh. 8 - Prob. 3MCh. 8 - Prob. 4MCh. 8 - Prob. 5MCh. 8 - Prob. 6MCh. 8 - Prob. 7MCh. 8 - Prob. 8MCh. 8 - Prob. 9MCh. 8 - Prob. 10MCh. 8 - Prob. 2CTCh. 8 - Prob. 3CTCh. 8 - Prob. 4CTCh. 8 - Prob. 5CTCh. 8 - Prob. 6CTCh. 8 - Prob. 7CTCh. 8 - Prob. 8CTCh. 8 - Prob. 9CTCh. 8 - Prob. 10CTCh. 8 - Prob. 11CTCh. 8 - Prob. 12CTCh. 8 - Prob. 13CTCh. 8 - Prob. 14CTCh. 8 - Prob. 15CTCh. 8 - Prob. 16CTCh. 8 - Prob. 17CTCh. 8 - Prob. 18CTCh. 8 - Prob. 19CTCh. 8 - Prob. 20CTCh. 8 - Prob. 21CTCh. 8 - Prob. 22CTCh. 8 - Prob. 23CTCh. 8 - Prob. 24CTCh. 8 - Prob. 25CTCh. 8 - Prob. 26CTCh. 8 - Prob. 27CTCh. 8 - Prob. 1PSCh. 8 - Prob. 2PSCh. 8 - Prob. 3PSCh. 8 - Prob. 4PSCh. 8 - Prob. 5PSCh. 8 - Prob. 8PSCh. 8 - Prob. 9PSCh. 8 - Prob. 10PSCh. 8 - Prob. 11PSCh. 8 - Prob. 1.1ECh. 8 - Prob. 1.2ECh. 8 - Prob. 1.3ECh. 8 - Prob. 2.1ECh. 8 - Prob. 2.2ECh. 8 - Prob. 2.3ECh. 8 - Prob. 3.1ECh. 8 - Prob. 3.2ECh. 8 - Prob. 3.3ECh. 8 - Prob. 4.1ECh. 8 - Prob. 4.2ECh. 8 - Prob. 4.3ECh. 8 - Prob. 2IRCh. 8 - Prob. 3IR
Knowledge Booster
Background pattern image
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Enhanced Discovering Computers 2017 (Shelly Cashm...
Computer Science
ISBN:9781305657458
Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:Cengage Learning