The nextGaussian() method of Random class returns the next pseudorandom, Gaussian(normally) distributed double value with mean 0.0 and standard deviation 1.0 from the random number generator’s sequence.
public double nextGaussian()
Parameters: The function does not accepts any parameter.
Return Value: This method returns the next pseudorandom Gaussian distributed double number with mean 0.0 and standard deviation 1.0.
Exception: The function does not throws any exception.
Program below demonstrates the above mentioned function:
Next Gaussian value is = 0.3350871100964153
Next Gaussian value is = 1.5685150659018154
Attention reader! Don’t stop learning now. Get hold of all the important Java and Collections concepts with the Fundamentals of Java and Java Collections Course at a student-friendly price and become industry ready.
- Random vs Secure Random numbers in Java
- Java Math random() method with Examples
- Random nextBoolean() method in Java with Examples
- Random nextFloat() method in Java with Examples
- Random nextDouble() method in Java with Examples
- Random next() method in Java with Examples
- Random nextLong() method in Java with Examples
- Random nextBytes() method in Java with Examples
- Random setSeed() method in Java with Examples
- Java.util.Random class in Java
- Java.util.Random.nextInt() in Java
- StrictMath random() Method in Java
- Generating random numbers in Java
- Image Processing in Java | Set 7 (Creating a random pixel image)
- A Java Random and StringBuffer Puzzle
- Generate random String of given size in Java
- How do I generate random integers within a specific range in Java?
- Creative Programming In Processing | Set 1 (Random Walker)
- Java.util.Collections.rotate() Method in Java with Examples
- Java.util.Collections.disjoint() Method in java with Examples
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.