Answer:
Explanation:
The following code is written in Java and creates all of the methods that were requested in the question. There is no main method in any of these classes so they will have to be called from the main method and call one of the objects created method for the code to be tested. (I have tested it and it is working perfectly.)
class Point {
private int x, y;
public void Point(int x, int y) {
this.x = x;
this.y = y;
}
public double distance (Point other) {
double distance = Math.sqrt(Math.pow((other.x - this.x), 2) + Math.pow((other.y - this.y), 2));
return distance;
}
public int quadrant() {
if (this.x > 0 && this.y > 0) {
return 1;
} else if (this.x < 0 && this.y > 0) {
return 2;
} else if (this.x < 0 && this.y < 0) {
return 3;
} else if (this.x > 0 && this.y < 0) {
return 4;
} else {
return 0;
}
}
}
class Name {
String firstName, lastName;
char middleInitial;
public String getNormalOrder() {
String fullName = firstName + " " + middleInitial + " " + lastName;
return fullName;
}
public String getReverseOrder() {
String fullName = lastName + ", " + firstName + " " + middleInitial;
return fullName;
}
}
The travel agents receive compensation from suppliers such as waiting time compensation, night ride compensation, and cancellation compensation.
<u>Explanation</u>:
- The travel agents from ola, uber and other companies usually receive compensation such as 10 percent commission of booking fees. Usually, if the customer cancels the ride the travel agent will receive compensation for that ride. They also receive time compensation for their work.
- For long rides, the travel agents will receive extra compensation for that. Because the distance for that ride will be long. So they will receive these types of compensations from suppliers.
Answer:Floating-point arithmetic is considered an esoteric subject by many people. This is rather surprising because floating-point is ubiquitous in computer systems. Almost every language has a floating-point datatype; computers from PCs to supercomputers have floating-point accelerators; most compilers will be called upon to compile floating-point algorithms from time to time; and virtually every operating system must respond to floating-point exceptions such as overflow. This paper presents a tutorial on those aspects of floating-point that have a direct impact on designers of computer systems. It begins with background on floating-point representation and rounding error, continues with a discussion of the IEEE floating-point standard, and concludes with numerous examples of how computer builders can better support floating-point.
Explanation:
