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Beta Function (Incomplete Beta Function) (G Dataflow)

Version:
    Last Modified: January 9, 2017

    Evaluates the regularized incomplete beta function.

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    x

    The first argument of the beta function. x must be nonnegative.

    Default: 0

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    y

    The second argument of the beta function. y must be nonnegative.

    Default: 0

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    a

    The upper limit of the regularized incomplete beta integral. a is a real number between 0 and 1.

    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.

    Default: No error

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    b(x, y, a)

    The result of the regularized incomplete beta function for the given values of x, y, and a.

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    error out

    Error information. The node produces this output according to standard error behavior.

    Algorithm for Evaluating the Regularized Incomplete Beta Function

    The following equation defines the regularized incomplete beta function.

    I a ( x , y , a ) = 1 β ( x , y ) 0 a t x 1 ( 1 t ) y 1 d t

    The following intervals for the input values define the function.

    a [ 0 , 1 ] , x , y [ 0 , )

    For any real nonnegative value of upper limit a 1 , the function is defined for all real nonnegative values of x and y.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: Not supported


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