Answer:
O(n) which is a linear space complexity
Explanation:
Space complexity is the amount of memory space needed for a program code to be executed and return results. Space complexity depends on the input space and the auxiliary space used by the algorithm.
The list or array is an integer array of 'n' items, with the memory size 4*n, which is the memory size of an integer multiplied by the number of items in the list. The listSize, i, and arithmeticSum are all integers, the memory space is 4(3) = 12. The return statement passes the content of the arithmetic variable to another variable of space 4.
The total space complexity of the algorithm is "4n + 16" which is a linear space complexity.
Answer:
#include <iostream>
using namespace std;
/* Your code goes here */
int main() {
int input1, input2;
int result;
cin >> input1;
cin >> input2;
result = ComputeNum(input1, input2);
cout << result << endl;
return 0;
Explanation:
<span>Encapsulation is defined as the process of adding a header in front of data supplied by a higher layer (and possibly adding a trailer as well).</span>
Answer:
D.
Explanation:
Based on the information provided within the one choice that will least likely impact the programmer's choice in design would be the frequency of a particular item occurring in a data set. This is because the system needs to be handle a large amount of data and be able to scale accordingly, regardless of how many frequent a particular item occurs.
Answer:
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Explanation:
To function, a computer system requires four main aspects of data handling: input, processing, output, and storage. The hardware responsible for these four areas operates as follows: Input devices accept data in a form that the computer can use; they then send the data to the processing unit.
