Main Algorithm
The Main Algorithm, also known as the central algorithm or core algorithm, is the primary computational method at the heart of a software program or system. It is responsible for processing input data, making complex calculations, executing decision-making processes, and producing the desired output. The main algorithm is designed to be efficient, accurate, and robust, making it a crucial component of any software application. Its performance can have a significant impact on the overall effectiveness of the system, and thus, it is often the primary focus of optimization efforts by developers.
In the realm of computer science and software engineering, various algorithms exist to solve specific problems, such as sorting, searching, and pathfinding. The main algorithm serves as the backbone of the program, integrating these sub-algorithms and leveraging their functionality to accomplish the system's goals. It is typically developed iteratively, undergoing multiple revisions and optimizations to ensure it meets the requirements and constraints of the problem it is designed to solve. The main algorithm's success is measured by its ability to efficiently and accurately process input data and produce the desired output, ultimately contributing to the overall effectiveness and reliability of the software system.
package DataStructures.HashMap.Hashing;
import java.util.Scanner;
public class Main {
public static void main(String[] args) {
int choice, key;
HashMap h = new HashMap(7);
Scanner In = new Scanner(System.in);
while (true) {
System.out.println("Enter your Choice :");
System.out.println("1. Add Key");
System.out.println("2. Delete Key");
System.out.println("3. Print Table");
System.out.println("4. Exit");
choice = In.nextInt();
switch (choice) {
case 1: {
System.out.println("Enter the Key: ");
key = In.nextInt();
h.insertHash(key);
break;
}
case 2: {
System.out.println("Enter the Key delete: ");
key = In.nextInt();
h.deleteHash(key);
break;
}
case 3: {
System.out.println("Print table");
h.displayHashtable();
break;
}
case 4: {
In.close();
return;
}
}
}
}
}
