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StrictMath pow() Method in Java

The java.lang.StrictMath.pow() is an inbuilt method of StrictMath class used to find the power value i.e., the value of one argument raised to the power of another argument. Mathematically it refers to . It gives rise to three special results: 


Syntax: 



public static double pow(double num1, double num2)


Parameters: The method accepts two parameter: 


Return Value: The method returns the value of operation num1^num2. 
Examples : 



Input: num1 = 6
       num2 = 4
Output: 1296.0

Input: num1 = 5
       num2 = 2
Output: 25.0


Below programs illustrate the java.lang.StrictMath.pow() method: 
Program 1: 

// Java program to illustrate the
// java.lang.StrictMath.pow()
import java.lang.*;
 
public class Geeks {
 
    public static void main(String[] args)
    {
 
        double num1 = 12, num2 = 6;
 
        // It returns num1 to the power num2
        double pow_Value = StrictMath.pow(num1, num2);
        System.out.print(num1 + " to the power of " +
                                        num2 + " = ");
        System.out.println(pow_Value);
 
        double pow_Value1 = StrictMath.pow(num1, 0);
        double pow_Value2 = StrictMath.pow(num1, 0);
        System.out.println(num1+" raised to the"+
                        " power 0 = " + pow_Value1);
        System.out.println(num2+" raised to the"+
                        " power 0 = " + pow_Value2);
    }
}

                    

Output: 
12.0 to the power of 6.0 = 2985984.0
12.0 raised to the power 0 = 1.0
6.0 raised to the power 0 = 1.0

 

Program 2: 

// Java program to illustrate the
// java.lang.StrictMath.pow()
import java.lang.*;
 
public class Geeks {
 
    public static void main(String[] args)
    {
 
        double num1 = 4.7, num2 = 2.5;
 
        // It returns num1 to the power num2
        double pow_Value = StrictMath.pow(num1, num2);
        System.out.print(num1 + " to the power of " +
                                        num2 + " = ");
        System.out.println(pow_Value);
    }
}

                    

Output: 
4.7 to the power of 2.5 = 47.88997880559147

 

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