Answer:
Time Complexity of Problem - O(n)
Explanation:
When n= 1024 time taken is t. on a particular computer.
When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.
When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.
It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).
If we double the speed of original machine then we can solve problems of size 2n in time t.
Answer:
<u>False</u>
Explanation:
Note, the Rapid Application Development (RAD) software development approaches are noteworthy not for its expanded design details but for <u>its simplicity of the software development process.</u>
In other words, the RAD approaches while taking user preferences into the software development process, focuses on making the software design process more flexible, such as by employing the use of prototypes, and less unnecessary details.
I think it is the model ET-2. Not quite sure.
Answer:
My Favorite film is The Old Guard
Explanation:
I like The Old Guard because it has action an etc.
Answer:
Explanation:
The following code is written in Java. I recreated the entire Child class as described with the instance variables and the doubleWeight method. Then created the getter and setter methods for both the weight and height variables.
class Child {
double weight, height;
public double doubleWeight() {
double superWeight = weight * height;
return superWeight;
}
public double getWeight() {
return weight;
}
public void setWeight(double weight) {
this.weight = weight;
}
public double getHeight() {
return height;
}
public void setHeight(double height) {
this.height = height;
}
}
