New Perspectives on HTML5, CSS3, and JavaScript
New Perspectives on HTML5, CSS3, and JavaScript
6th Edition
ISBN: 9781305503922
Author: Patrick M. Carey
Publisher: Cengage Learning
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Chapter 3, Problem 7CP2
Program Plan Intro

To create style rules for div elements belonging to the given classes in order to make the width of div element equal to the numeral suffixed in the column name.

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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)
Design a dynamic programming algorithm for the problem described below Input: A list of numbers A = = [a1,..., an]. Output: A contiguous subsequence of numbers with the maximum sum. The algorithm must take O(n) time. You must also write and explain the recurrence. (I am looking for an i ≥ 1 and k ≥ 0 such that a + ai+1 + ···ai+k has the largest possible sum among all possible values for i and k.) Example 1: Input: A[5, 15, -30, 10, -5, 40, 10]. Output: [10, 5, 40, 10] Example 2: Input: A = [7, 5, 7, 4, -20, 6, 9, 3, -4, -8, 4] Output: [6,9,3]

Chapter 3 Solutions

New Perspectives on HTML5, CSS3, and JavaScript

Ch. 3.2 - Prob. 2QCCh. 3.2 - Prob. 3QCCh. 3.2 - Prob. 4QCCh. 3.2 - Prob. 5QCCh. 3.2 - Prob. 6QCCh. 3.2 - Prob. 7QCCh. 3.2 - Prob. 8QCCh. 3.2 - Prob. 9QCCh. 3.3 - Prob. 1QCCh. 3.3 - Prob. 2QCCh. 3.3 - Prob. 3QCCh. 3.3 - Prob. 4QCCh. 3.3 - Prob. 5QCCh. 3.3 - Prob. 6QCCh. 3.3 - Prob. 7QCCh. 3 - Prob. 1RACh. 3 - Prob. 2RACh. 3 - Prob. 3RACh. 3 - Prob. 4RACh. 3 - Prob. 5RACh. 3 - Prob. 6RACh. 3 - Prob. 7RACh. 3 - Prob. 8RACh. 3 - Prob. 9RACh. 3 - Prob. 10RACh. 3 - Prob. 11RACh. 3 - Prob. 12RACh. 3 - Prob. 13RACh. 3 - Prob. 14RACh. 3 - Prob. 15RACh. 3 - Prob. 16RACh. 3 - Prob. 1CP1Ch. 3 - Prob. 2CP1Ch. 3 - Prob. 3CP1Ch. 3 - Prob. 4CP1Ch. 3 - Prob. 5CP1Ch. 3 - Prob. 6CP1Ch. 3 - Prob. 7CP1Ch. 3 - Prob. 8CP1Ch. 3 - Prob. 9CP1Ch. 3 - Prob. 10CP1Ch. 3 - Prob. 11CP1Ch. 3 - Prob. 12CP1Ch. 3 - Prob. 13CP1Ch. 3 - Prob. 14CP1Ch. 3 - Prob. 15CP1Ch. 3 - Prob. 16CP1Ch. 3 - Prob. 17CP1Ch. 3 - Prob. 18CP1Ch. 3 - Prob. 19CP1Ch. 3 - Prob. 20CP1Ch. 3 - Prob. 1CP2Ch. 3 - Prob. 2CP2Ch. 3 - Prob. 3CP2Ch. 3 - Prob. 4CP2Ch. 3 - Prob. 5CP2Ch. 3 - Prob. 6CP2Ch. 3 - Prob. 7CP2Ch. 3 - Prob. 8CP2Ch. 3 - Prob. 9CP2Ch. 3 - Prob. 10CP2Ch. 3 - Prob. 11CP2Ch. 3 - Prob. 12CP2Ch. 3 - Prob. 13CP2Ch. 3 - Prob. 14CP2Ch. 3 - Prob. 15CP2Ch. 3 - Prob. 16CP2Ch. 3 - Prob. 17CP2Ch. 3 - Prob. 18CP2Ch. 3 - Prob. 19CP2Ch. 3 - Prob. 20CP2Ch. 3 - Prob. 1CP3Ch. 3 - Prob. 2CP3Ch. 3 - Prob. 3CP3Ch. 3 - Prob. 4CP3Ch. 3 - Prob. 5CP3Ch. 3 - Prob. 6CP3Ch. 3 - Prob. 7CP3Ch. 3 - Prob. 8CP3Ch. 3 - Prob. 9CP3Ch. 3 - Prob. 10CP3Ch. 3 - Prob. 11CP3Ch. 3 - Prob. 12CP3Ch. 3 - Prob. 13CP3Ch. 3 - Prob. 14CP3Ch. 3 - Prob. 1CP4Ch. 3 - Prob. 2CP4Ch. 3 - Prob. 3CP4Ch. 3 - Prob. 4CP4Ch. 3 - Prob. 5CP4Ch. 3 - Prob. 6CP4
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