Developer Guide and Reference

  • 2021.3
  • 06/28/2021
  • Public Content
Contents

Normal Distribution

Generates normally distributed random numbers.

Details

Normal (Gaussian) random number generator fills the input n x p numeric table with Gaussian random numbers with mean α and standard deviation σ, where α, σ∈R and σ > 0. The probability density function is given by:
LaTex Math image.
The cumulative distribution function is as follows:
LaTex Math image.

Batch Processing

Algorithm Parameters
Normal distribution algorithm has the following parameters in addition to the common parameters specified in Distributions:
Parameter
Default Value
Description
algorithmFPType
float
The floating-point type that the algorithm uses for intermediate computations. Can be
float
or
double
.
method
defaultDense
Performance-oriented computation method, the only method supported by the algorithm. The only method supported so far is the Inverse Cumulative Distribution Function (ICDF) method.
a
0
The mean LaTex Math image.
sigma
1
The standard deviation LaTex Math image.

Examples

Python*
Batch Processing:

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.