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:
Currency
Explanation:
Since sales are in money, and currency shows money, Currency is our answer
Virtualization and dynamics I think.
Answer:
// here is code in Java.
// package
import java.util.*;
// class definition
class Main
{
// method that return sum of two sale value
public static int Add(int euroSales,int asiaSales)
{
// return the sum
return euroSales+asiaSales;
}
//main method of the class
public static void main (String[] args) throws java.lang.Exception
{
try{
// variables
int euroSales=100;
int asiaSales=150;
int eurasiaSales;
// call the function
eurasiaSales=Add(euroSales,asiaSales);
// print the sum
System.out.println("total sale is:"+eurasiaSales);
}catch(Exception ex){
return;}
}
}
Explanation:
Declare and initialize two variables "euroSales=100" and "asiaSales=150". Declare another variable eurasiaSales. Call the method Add() with euroSales and asiaSales as parameter. This method will add both the value and return the sum.This sum will be assigned to variable eurasiaSales.Then print the sum.
Output:
total sale is:250
