Answer:
The program is as follows:
import java.util.*;
public class Main{
public static void main(String[] args) {
Scanner input = new Scanner(System.in);
String score;
System.out.print("Scores: ");
score = input.nextLine();
String[] scores_string = score.split(" ");
double total = 0;
for(int i = 0; i<scores_string.length;i++){
total+= Double.parseDouble(scores_string[i]); }
double average = total/scores_string.length;
System.out.format("Average: %.3f", average); }
}
Explanation:
This declares score as string
String score;
This prompts the user for scores
System.out.print("Scores: ");
This gets the input from the user
score = input.nextLine();
This splits the scores into an array
String[] scores_string = score.split(" ");
This initializes total to 0
double total = 0;
This iterates through the scores
for(int i = 0; i<scores_string.length;i++){
This calculates the sum by first converting each entry to double
total+= Double.parseDouble(scores_string[i]); }
The average is calculated here
double average = total/scores_string.length;
This prints the average
System.out.format("Average: %.3f", average); }
}
Acróstico sobre mouse
Which of the following characteristics differentiates PCM from BWF audio
file formats?
metadata storage
.wav file extension
uncompressed audio file format
compressed audio file format
Answer: A
Explanation:
Answer:
A
Explanation:
Animation timing is does not affect the
speed of the presentation
Select one:
True
False
Answer:
True
Explanation:
I think it's true.....
Suppose you are choosing between the following three algorithms:
• Algorithm A solves problems by dividing them into five subproblems of half the size, recursively solving each subproblem, and then combining the solutions in linear time.
• Algorithm B solves problems of size n by recursively solving two subproblems of size n − 1 and then combining the solutions in constant time.
• Algorithm C solves problems of size n by dividing them into nine sub-problems of size n=3, recursively solving each sub-problem, and then combining the solutions in O(n2) time.
What are the running times of each of these algorithms (in big-O notation), and which would you choose?
Answer:
Algorithm C is chosen
Explanation:
For Algorithm A
T(n) = 5 * T ( n/2 ) + 0(n)
where : a = 5 , b = 2 , ∝ = 1
attached below is the remaining part of the solution