Table Of Contents

Continuous PDF (Uniform) (G Dataflow)

Version:
Last Modified: August 28, 2017

Computes the continuous probability density function (PDF) of a uniform-distributed variate.

connector_pane_image
datatype_icon

x

Quantile of the continuous random variable.

x must be in the interval [minimum, maximum].

Default: 0

datatype_icon

minimum

Lower limit parameter of the random variable.

minimum must be less than maximum.

Default: 0

datatype_icon

maximum

Upper limit parameter of the random variable.

maximum must be greater than minimum.

Default: 1

datatype_icon

error in

Error conditions that occur before this node runs.

The node responds to this input according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error error in contains an error
If no error occurred before the node runs, the node begins execution normally.

If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

datatype_icon

pdf(x)

Probability density function at x.

datatype_icon

error out

Error information.

The node produces this output according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error error in contains an error
If no error occurred before the node runs, the node begins execution normally.

If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Algorithm Definition for the Continuous PDF of a Uniform-Distributed Variate

The following equation defines the continuous PDF of a uniform-distributed variate.

p d f ( x ) = { 1 b a for x [ a , b ] 0 otherwise

where

  • x is the quantile of the continuous random variable
  • a is the lower limit parameter of the random variable
  • b is the upper limit parameter of the random variable

Where This Node Can Run:

Desktop OS: Windows

FPGA: This product does not support FPGA devices

Web Server: Not supported in VIs that run in a web application


Recently Viewed Topics