EP COMPTIA A+ CORE 1 EXAM GDE....-ACCES
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ISBN: 9780357108413
Author: ANDREWS
Publisher: CENGAGE CO
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Chapter 4, Problem 14TC
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Given: A computer is not giving any response after it is turned on.
To find: Whether the problem is hardware related or software related, when the monitor remains blank, and lights on fans and indicator cannot be seen even after turning on the system...
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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;}
Please provide the Mathematica code
Chapter 4 Solutions
EP COMPTIA A+ CORE 1 EXAM GDE....-ACCES
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- 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)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_forwardDesign 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_forward
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