Management Information Systems: Managing The Digital Firm -- Student Value Edition (16th Edition)
Management Information Systems: Managing The Digital Firm -- Student Value Edition (16th Edition)
16th Edition
ISBN: 9780135191927
Author: Kenneth Laudon, Jane Laudon
Publisher: PEARSON
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Chapter 2.2, Problem 1.1CQ

Explanation of Solution

Kinds of systems illustrated in the given case study:

  • The system which is discussed in the given case study is “NFL’s Player Tracking System”...

Explanation of Solution

Source of the data:

  • NFL’s Player Tracking System gathers data from the players using nickel-sized Radio Frequency Identification (RFID) tags placed beneath the shoulder pads...

Explanation of Solution

Uses of the gathered data:

  • NFL’s Player Tracking System records speed, direction and location of the player on the field, it also collects how far they ran, jogs, spring or walked on the field.
  • These data are used to evaluate a player and team performance...

Explanation of Solution

Inputs for the NFL’s Player Tracking System:

  • NFL’s Player Tracking System gathers data from the players using nickel-sized RFID tags placed beneath the shoulder pads.
  • The system records speed, direction and location of the player on the field, and it also collects how far they ran, jogs, spring or walked on the field...

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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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