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JanThere is nothing like an exponent in Java like other programming languages. Still, this is easy for you to manage similar mathematical operations in Java by importing one static mathematics class i.e. java.util.Math
. The operations supported by this math library include absolute value calculation, trigonometric value calculation, round value, exponent calculation etc. in most of the case, the output of all these mathematical operations are always “double” but they can be converted to integers or floats when required. Let us see ahead how to do exponents in Java?
java.util.Math
at the top of the document.Double result = Math.pow(number, exponent);
Now replace the number with a base value and the exponent with the power to be raised. For example –
Double result = Math.pow(4,2) i.e.
This results is 16, or 4^2
There are some special cases to consider when using the Pow () method in Java.
So, you have learned how to do exponent in Java with this simple example. Let us explore a few related concepts to make the concepts easier for you.
With this method, you can calculate the base value of natural logarithms i.e. the power of an argument. The basic syntax of this method could be written as – Double exp(double d)
Read: How to Call a Method in Java?
In this section, we will learn, how to find the value for negative exponents in Java. You can refer the code below for a better understanding of the concept.
import java.io.*;
import java.util.Scanner;
import java.lang.*;
class NegativeExponents
{
public static void main(String[] args)
{
Scanner in = new Scanner(System.in);
double n,x=125,y=2;
n=1.0/(Math.pow(x,y));
System.out.println("Negative Exponent of x is = "+n);
}
}
You just need to copy and paste the content on your IDE and can calculate the final output. You just have to change the values and rest is done by code itself.
Performance analysis is usually based on numbers, so you must be sure how to perform different mathematical calculations in Java. Working with addition, subtraction, division, or multiplication etc is easy in all programming languages but for calculating roots, exponents, percentage, you always need to put more efforts and knowledge together. So, let us see how to calculate the aggregated performance data with Math operators in Java for enterprises.
If you wanted to work with averages then you will notice that this is the most common performance tool for statistical representation of the data. It can provide the first impression of data usually and it is used when a few values are very low and a few of them are very high. So, the average may be good but it sometimes lacks in identifying the actual performance problems. When you have to analyze data over a long period of time for fluctuations then the average does not work generally good in those cases. At the same time, when values are pretty smaller then average is statistically imprecise.
With the minimum or maximum values in Java, you generally find out the extremes or how these extremes are spread around. But they are not so meaningful for outliers. The data is rarely used in practice and it does not give the accurate measure of how many times was data used actually. In a few cases, the occurrence could be one and for others, it could be hundreds or even thousands. So, you should calculate the threshold value here and check that performance of an app should not move beyond the threshold values.
There are a few cases when you have to calculate the exponents in Java but we don’t have any specific formula dedicated to the same. But there is one “java.util.Math” that you should import to complete the basic calculations in Java. Also, you can use double () or exp () functions in Java to calculate the power values. The same calculations can be made much easier with NetBeans IDE or any other IDE that you prefer personally.
The median value is another popular way of presenting data and defining performance. The best part why it is preferred because it is highly closer to the real-world data representation not calculated artificially like averages. Further, the impact of outliers is almost negligible on the median when compared to the averages.
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Today, the average has limited significance only but the median, Standard deviation, and exponents are considered more significant as compared to other mathematical operations. The SD will give you an idea of the spread of actual values. The greater would be the value of standard deviation, larger would be the difference among measurement data. In most of the cases, the values are distributed normally, if your data is not following this format then the application of standard deviation could be useless in that case. It means we have to understand the underlying concepts first before we actually apply the concept.
Percentiles are one of the most absolute techniques to calculate the data representation. It will give you the maximum value for a percentage for the overall measurements. Higher percentile values mean chances of success is greater than 95 percent. They are not impacted by the outliers and giving an accurate presentation of the raw data. Further, they are also easy to calculate and measure when compared to averages or medians. The problem lies in calculating the real values because you need more data for the same. Whenever it is possible to apply percentiles then try using it because it is faster and results in accurate analysis too.
Here, you can see yourself that there is a need of using different values together but a depth idea of concept or mathematical operators in Java can always give you the best result and help in designing an app that is simply amazing and applicable for real-time computations as well.
There are a plenty of functions that are dedicated to the exponential and logarithms calculations. Here, we will be discussing the most common functions that are frequently used by the developers. A list of functions includes –
Let us discuss on each of the functions in detail below –
This function will return the exponential (e) value raised to the power of a given parameter. Here is one example of the function for your reference.
double exp1 = Math.exp(1);
System.out.println("exp1 = " + exp1);
double exp2 = Math.exp(2);
System.out.println("exp2 = " + exp2);
The output for the given program would be –
exp1 = 2.718281828459045
exp2 = 7.38905609893065
With the help of this function, you can calculate the logarithm value of a given parameter. In simple word, this function will be performing the reverse function of math.exp () function. Here is one example of the function for your reference.
double log1 = Math.log(1);
System.out.println("log1 = " + log1);
double log10 = Math.log(10);
System.out.println("log10 = " + log10);
The output for the given program would be –
log1 = 0.0
log10 = 2.302585092994046
The next function math.log10 () works almost similar to the log function with the difference that it is using 10 as the base instead of e Euler number.
Read: Java Interview Questions and Answers for Experienced, Fresher Developer
This function will be taking two arguments instead of one. The function will return the first parameter raised to power of second parameters. Here is one example for your reference so you may get better idea of using this function.
double pow2 = Math.pow(2,2);
System.out.println("pow2 = " + pow2);
double pow8 = Math.pow(2,8);
System.out.println("pow8 = " + pow8);
The output for the given program would be –
pow2 = 4.0
pow8 = 256.0
This function will help you in calculating the square root value of the given parameters. Here is one quick example to help you –
double sqrt4 = Math.sqrt(4);
System.out.println("sqrt4 = " + sqrt4);
double sqrt9 = Math.sqrt(9);
System.out.println("sqrt9 = " + sqrt9);
The output for the given program would be –
sqrt4 = 2.0
sqrt9 = 3.0
The discussion doesn’t end here but you have a lot of stuff to learn ahead. For practical experience, you are recommended joining Java certification training program at JanBask and enhance your programming skills right away.
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