Answer:
See explaination for the program code
Explanation:
code:
public static int[] countLastDigits(int[] list) {
int[] count = new int[10];
for (int i = 0; i < list.length; i++) {
int digit = list[i] % 10;
count[digit]++;
}
return count;
}
It could be old ... could be your connection to the internet... could be a virus. You can go to walmart or your super store and buy a usb for your computer. There are ones that can speed up your computer. I had to buy it for mine and it worked. It might be over 20 dollars depends on where you go.
The answer is B: Yahoo! mail
Donna is able to install Yahoo! mail as an app on her portable devices like phones and tablets and be able to organize her Google mails, Outlook, and yahoo accounts. The beauty of it is that you are able to sign in with any account (non-Yahoo emails). anywhere and at any time. It also provides 1000 GB of free secure cloud storage.
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
Answer:
Big Oh notation is used to asymptotically bound the growth of running time above and below the constant factor.
Big Oh notation is used to describe time complexity, execution time of an algorithm.
Big Oh describes the worst case to describe time complexity.
For the equation; T(N) = 10000*N + 0.00001*N^3.
To calculate first of all discard all th constants.
And therefore; worst case is the O(N^3).
