Answer:
n2.
Explanation:
The function with the time complexity of n2 is the fastest growing function is in terms of square.As n increases the time complexity will grow very rapidly.
n=1 n2=1
n=2 n2=4
n=3 n2=9
n=4 n2=16
n=5 n2=25.
The slowest growing function among them is log n then n and then n log n.
n log n is better than n2.
Answer:
Option B(Body) is the correct answer for the above question.
Explanation:
The function is a defined processor of some specific task, which is used to perform some action of the task. The function is of two types one is predefined, which is defined by the compiler and, the other is user-defined, which is defined by the programmer. Any user-defined function has three parts--
- Function prototype: It states the type of function.
- Function body: It holds the collection of instruction that needs to perform by the function.
- Function call: From where the function is called.
The above question asked about the term, which holds the statement of the function and that term is function Body, which is defined above. So the answer body, which is stated from the option 'B'. Hence 'B', is the correct option while the other is not because--
- Option 'A' states about the header, which is not the part of the function
- Option 'C' states about data type, which defines the types of data.
- Option 'D' states none of these, but the answer is option B.
- Option 'E' states about the definition, which is not the correct answer.
Answer:
The Java code is given below
Explanation:
import java.util.*;
public class CensoredWords {
public static void main(String args[]) {
Scanner scnr=new Scanner(System.in);
String userInput;
System.out.println("Enter String: ");
userInput=scnr.nextLine();
int res=userInput.indexOf("darn");
if(res == - 1) {
System.out.println(userInput);
} else {
System.out.println("Censored");
}
}
}
I'm thinking that it is B. If I am wrong I am very sorry.
Answer:
A compiler takes a lot of time to analyze the source code. However, the overall time taken to execute the process is much faster. An interpreter does not generate an intermediary code. Hence, an interpreter is highly efficient in terms of its memory.
Explanation:
