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Discrete Random (Geometric) (G Dataflow)

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    Last Modified: March 15, 2017

    Generates random values from a geometric-distributed variate.

    A geometric-distributed variate represents the number of trials before the first success in a sequence of independent Bernoulli trials.

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    reset

    A Boolean that controls the reseeding of the random value generator after the first execution of the node. By default, this node maintains the initial internal seed state.

    True Accepts a new seed and begins generating random values based on the seed. If the seed is less than or equal to 0, the node ignores the reset value of True and resumes generating random values as a continuation of the previous sequence.
    False Resumes generating random values as a continuation of the previous sequence. The node ignores new seed inputs.

    Default: False

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    p

    Probability of success of each Bernoulli trial.

    p must be in the interval [0, 1].

    Default: 0.5

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    seed

    Value that causes reseeding of the random value generator when the value is greater than 0.

    Default: -1

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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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    samples

    Number of samples in the output array.

    samples must be greater than or equal to 0.

    Default: 128

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    geometric random data

    Randomized data distributed according to the geometric distribution.

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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.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: This product does not support FPGA devices


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