Usando Math.random en Java

Math.random()

The Math.random() method is a static method that generates a pseudorandom double value greater than or equal to 0.0 and less than 1.0. It's part of the Math class, which provides various methods for performing basic numeric operations such as exponentiation, logarithms, and trigonometric operations. The simplicity of Math.random() makes it highly accessible to generate pseudo-random numbers quickly.

public class Main {
    public static void main(String[] args) {
        // Generate a random double value between 0.0 and 1.0
        double value = Math.random();
        System.out.println("Random double value: " + value);
    }
}

public class Main {
    public static void main(String[] args) {
        // Generate a random double value between 0.0 and 1.0
        double value = Math.random();
        System.out.println("Random double value: " + value);
    }
}

This example demonstrates how to generate random double values and print them to the console.

The Random Class

For more diverse requirements, such as generating random integers, booleans, or floating-point numbers within a specified range, the Random class in the java.util package is more suitable. It requires creating an instance of the Random class, followed by calling one of its methods to generate a random number.

import java.util.Random;

public class Main {
    public static void main(String[] args) {
        // Create a Random object
        Random random = new Random();
        // Generates a random integer from 0 to 9
        int randomInt = random.nextInt(10);
        System.out.println("Random integer: " + randomInt);
    }
}

import java.util.Random;

public class Main {
    public static void main(String[] args) {
        // Create a Random object
        Random random = new Random();
        // Generates a random integer from 0 to 9
        int randomInt = random.nextInt(10);
        System.out.println("Random integer: " + randomInt);
    }
}

This code snippet creates a Random object and uses it to generate a random integer between 0 and 9.

Simplicity and Ease of Use

Math.random() is incredibly straightforward, requiring no object instantiation or complex setup, making it ideal for beginners or for use cases where only a single random double value is needed.

Flexibility and Control

The Random class offers a broader range of methods for generating random numbers, including nextInt(), nextDouble(), nextFloat(), nextLong(), and nextBoolean(), providing greater flexibility and control over the random numbers generated.

Reproducibility

By using a seed value with the Random class, it's possible to produce a predictable sequence of pseudo-random numbers, which can be extremely useful for debugging or for applications where a certain degree of predictability is desirable.

Game Development: Rolling a Die

public class Main {
    public static void main(String[] args) {
        int max = 6; // Maximum face value of the die
        // Generate a random integer between 1 and 6
        int roll = (int) (Math.random() * max) + 1;
        System.out.println("You rolled a: " + roll);
    }
}

public class Main {
    public static void main(String[] args) {
        int max = 6; // Maximum face value of the die
        // Generate a random integer between 1 and 6
        int roll = (int) (Math.random() * max) + 1;
        System.out.println("You rolled a: " + roll);
    }
}

Output in Console Example: You rolled a: 6

This example simulates rolling a six-sided die by generating a random integer between 1 and 6. It showcases how to use Math.random() to generate numbers within a specific range by multiplying the result by the maximum value and adding one to shift the range from 0-5 to 1-6.

Simulation: Generating Weather Conditions

import java.util.Random;

public class Main {
    public static void main(String[] args) {
        Random random = new Random();
        // Generate a random temperature from -10 to 20 degrees Celsius
        int temp = random.nextInt(31) - 10;
        // Generate a random boolean to indicate raining condition
        boolean raining = random.nextBoolean();
        System.out.println("Today's temperature is: " + temp + "C, and it is " + (raining ? "raining" : "not raining"));
    }
}

import java.util.Random;

public class Main {
    public static void main(String[] args) {
        Random random = new Random();
        // Generate a random temperature from -10 to 20 degrees Celsius
        int temp = random.nextInt(31) - 10;
        // Generate a random boolean to indicate raining condition
        boolean raining = random.nextBoolean();
        System.out.println("Today's temperature is: " + temp + "C, and it is " + (raining ? "raining" : "not raining"));
    }
}

Output in Console Example: Today's temperature is: 8C, and it is raining

This snippet simulates weather conditions by generating a random temperature within a specified range and a boolean value to indicate whether it is raining. It illustrates the use of the Random class for generating both integer and boolean values.

Machine Learning: Shuffling Data

import java.util.Collections;
import java.util.ArrayList;
import java.util.Arrays;

public class Main {
    public static void main(String[] args) {
        // Initialize an ArrayList with integers
        ArrayList<Integer> data = new ArrayList<>(Arrays.asList(1, 2, 3, 4, 5));
        // Shuffle the list to randomize element order
        Collections.shuffle(data);
        System.out.println("Shuffled data: " + data);
    }
}

import java.util.Collections;
import java.util.ArrayList;
import java.util.Arrays;

public class Main {
    public static void main(String[] args) {
        // Initialize an ArrayList with integers
        ArrayList<Integer> data = new ArrayList<>(Arrays.asList(1, 2, 3, 4, 5));
        // Shuffle the list to randomize element order
        Collections.shuffle(data);
        System.out.println("Shuffled data: " + data);
    }
}

Output in Console Example: Shuffled data: [5, 3, 1, 4, 2]

While not directly using Math.random() or the Random class, this example demonstrates shuffling a list of integers, a common operation in preparing data for machine learning algorithms. Collections.shuffle() internally uses Random for shuffling elements.

Example

package ironpdf;

import com.ironsoftware.ironpdf.*;
import java.awt.print.PrinterException;
import java.io.IOException;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) throws IOException, PrinterException {
        // Set license key for IronPDF
        License.setLicenseKey("Key");
        // Generate a random number between 0 and 99
        int randomNumber = (int) (Math.random() * 100);
        // Create HTML content, embedding the random number
        String htmlContent = "<html><body><h1>Random Number</h1><p>" + randomNumber + "</p></body></html>";
        // Render HTML content to PDF
        PdfDocument pdf = PdfDocument.renderHtmlAsPdf(htmlContent);
        // Save the PDF to a specified path
        pdf.saveAs(Paths.get("f:\\IronPdf\\random.pdf"));
    }
}

package ironpdf;

import com.ironsoftware.ironpdf.*;
import java.awt.print.PrinterException;
import java.io.IOException;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) throws IOException, PrinterException {
        // Set license key for IronPDF
        License.setLicenseKey("Key");
        // Generate a random number between 0 and 99
        int randomNumber = (int) (Math.random() * 100);
        // Create HTML content, embedding the random number
        String htmlContent = "<html><body><h1>Random Number</h1><p>" + randomNumber + "</p></body></html>";
        // Render HTML content to PDF
        PdfDocument pdf = PdfDocument.renderHtmlAsPdf(htmlContent);
        // Save the PDF to a specified path
        pdf.saveAs(Paths.get("f:\\IronPdf\\random.pdf"));
    }
}