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Continuous CDF (Triangular) (G Dataflow)

Version:
    Last Modified: March 15, 2017

    Computes the continuous triangular cumulative distribution function (CDF) or the probability that a triangular-distributed variate takes on a value less than or equal to the quantile of the variate.

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    x

    Quantile of the continuous random variate.

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

    Default: 0.5

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    minimum

    Lower limit parameter of the variate.

    minimum must be less than maximum.

    Default: 0

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    maximum

    Upper limit parameter of the variate.

    maximum must be greater than minimum.

    Default: 1

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    mode

    Mode parameter of the variate.

    Default: NaN — The mode at the midpoint between minimum and maximum.

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    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

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    cdf(x)

    Cumulative probability that the continuous random variate has a value less than or equal to x.

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    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 CDF of a Triangular-Distributed Variate

    The following equation defines the continuous CDF of a triangular-distributed variate.

    c d f ( x ) = x p d f ( x ) d x
    p d f ( x ) = { 2 ( x a ) ( b a ) ( c a ) , if a x c 2 ( b x ) ( b a ) ( b c ) , if c x b

    where

    • x is the quantile of the continuous random variate
    • a is the lower limit parameter of the variate
    • b is the upper limit parameter of the variate
    • c is mode parameter of the variate

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: This product does not support FPGA devices


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