EBK BUSINESS DRIVEN TECHNOLOGY
7th Edition
ISBN: 8220103675451
Author: BALTZAN
Publisher: YUZU
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Chapter 6, Problem 3MBD
Program Plan Intro
Information quality:
It is defined as the quality of the content of
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Which statement regarding SGA_MAX_SIZE is true?
SGA_MAX_SIZE is modifiable after an instance is started, only when Automatic Memory Management is used.
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SGA-MAX_SIZE must be specified when SGA_TARGET > 0
Explian this C program
#include <stdio.h>
unsigned int rotateRight(unsigned int num, unsigned int bits) {
unsignedint bit_count =sizeof(unsignedint) *8;
bits = bits % bit_count; // Handle cases where bits >= bit_count
return (num >> bits) | (num << (bit_count - bits));
}
int main() {
unsignedint num, bits;
printf("Enter a number: ");
scanf("%u", &num);
printf("Enter the number of bits to shift: ");
scanf("%u", &bits);
printf("After rotation: %u\n", rotateRight(num, bits));
return0;
}
Explian thiS C program
#include<stdio.h>
int countSetBits(int n) { int count = 0; while (n) { count += n & 1; n >>= 1; } return count;}
int main() { int num; printf("Enter a number: "); scanf("%d", &num); printf("Output: %d units\n", countSetBits(num)); return 0;}
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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)arrow_forwardDesign 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)arrow_forwardDesign 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]arrow_forward
- Design a dynamic programming algorithm for the Longest Increasing Subsequence problem described below: Input: A sequence of n integers Output: The length of the longest increasing subsequence among these integers. The algorithm must take O(n²) time. You must also write and explain the recurrence. Example 1: Input: [5, 3, 6, 8, 4, 6, 2, 7, 9, 5] Output: 5 ([3, 4, 6, 7, 9]) Example 2: Input: [12, 42, 66, 73, 234, 7, 543, 16] Output: 6 ([42, 66, 73, 234, 543])arrow_forwardDesign a dynamic programming algorithm for the Subset Sum problem described below: Input: A set of n integers A and an integer s Output: A subset of A whose numbers add up to s, or that no such set exists. The algorithm must take O(n·s) time. You must also write and explain the recurrence. Example 1: Input: A = {4, 7, 5, 2, 3}, s = 12 Output: {7,2,3} Example 2: Input: A{4, 7, 5,3}, s = 6 Output: 'no such subset'arrow_forwardTECNOLOGIE DEL WEB 2023/2023 (VER 1.1) Prof. Alfonso Pierantonio 1. Project Requirements The project consists in designing and implementing a Web application according to the methodology and the technologies illustrated and developed during the course. This document describe cross-cutting requirements the application must satisfy. The application must be realized with a combination of the following technologies: PHP MySQL HTML/CSS JavaScript, jQuery, etc templating The requirements are 2. Project size The application must have at least 18 SQL tables The number of SQL tables refers to the overall number of tables (including relation normalizations). 3. Methodology The application must be realized by adopting separation of logics, session management, and generic user management (authentication/permissions). Missing one of the above might correspond to a non sufficient score for the project. More in details: 3.1 Separation of Logics The separation of logics has to be realizse by using…arrow_forward
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