The Gaussian4D method is an extension method for the System.Random class, allowing you to generate a random Vector4 value based on a Gaussian (normal) distribution. This method is useful for scenarios where you need to simulate random 4D vectors with a specific mean and standard deviation.
To use the Gaussian4D method, you need to have an instance of System.Random. You can specify the mean and standard deviation as Vector4 values. If either the mean or standard deviation is not provided, the method will use default values (zero vector for mean and unit vector for standard deviation).
Here is the method signature:
public static Vector4 Gaussian4D(this System.Random self, System.Nullable<Vector4> mean = null, System.Nullable<Vector4> stdDev = null)// Example usage of Gaussian4D System.Random random = new System.Random(); Vector4 mean = new Vector4(1.0f, 2.0f, 3.0f, 4.0f); Vector4 stdDev = new Vector4(0.5f, 0.5f, 0.5f, 0.5f); Vector4 randomVector = random.Gaussian4D(mean, stdDev); // randomVector now contains a Vector4 with values distributed around the specified mean and standard deviation.