Answer:
<em>C++</em>
///////////////////////////////////////////////////////////////////////////////////////////
#include <iostream>
using namespace std;
//////////////////////////////////////////////////////////////////
class QuadraticEquation {
int a, b, c;
public:
QuadraticEquation(int a, int b, int c) {
this->a = a;
this->b = b;
this->c = c;
}
////////////////////////////////////////
int getA() {
return a;
}
int getB() {
return b;
}
int getC() {
return c;
}
////////////////////////////////////////
// returns the discriminant, which is b2-4ac
int getDiscriminant() {
return (b*2)-(4*a*c);
}
int getRoot1() {
if (getDiscriminant() < 0)
return 0;
else {
// Please specify how to calculate the two roots.
return 1;
}
}
int getRoot2() {
if (getDiscriminant() < 0)
return 0;
else {
// Please specify how to calculate the two roots.
return -1;
}
}
};
//////////////////////////////////////////////////////////////////
int main() {
return 0;
}
Answer:
public class num9 {
public static void main(String[] args) {
int sum =0;
int num =5;
for(num =5; num<=500; num+=5){
System.out.println(num);
sum +=num;
}
System.out.println(sum);
}
}
Explanation:
- Declare and initialize the variables sum and num
- Use a for loop with the condition for(num =5; num<=500; num+=5) Since the loop will increment by 5 and run from 5 to 500
- Within the loop, add num to sum at each iteration
- Print all elements on seperate lines
- Outside the loop, print the final value of sum
Create a for loop
The connector for ethernet cables is called RJ45. for phone jack is RJ11. Although they look the same, the RJ11 has only 4 leads, as opposed to 9 leads in RJ45. Also, RJ11 is not as wide as RJ45, so the connector does not fit.
Even if it would, the signals would be totally incompatible, so no success can be expected.
Answer: (B) Lossless compression
Explanation:
According to the question, the given technique is the example of the lossless compression. The lossless compression is one of the technique that decompress the data into the original data form without any type of losses.
The lossless compression is the technique that usually compress the data, text and the databases. This technique also improve the compression rate helps in reconstruct the original data. It is used in various types of encoding methods, GNU tool and zip file.
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