Run-Time Functions > Functions: A - M > Akima Fitting Method (AKISPL)

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Akima Fitting Method (AKISPL)
Returns either a derivative of a curve or an interpolated value from a curve or surface. The curve is fit exactly through a set of discrete data points using an Akima spline fitting method.
Format
AKISPL (First Independent Variable, Second Independent Variable, Spline Name, Derivative Order)
Arguments
 
(Required) Real variable that represents the first independent variable in the spline.
(Optional) Real variable that represents the second independent variable in the spline.
(Required) The name of the existing data element spline modeling entity that defines the set of discrete data points to be used for the interpolation.
Note: Derivative Order may not be specified when interpolating on a surface; that is, when the Second Independent Variable = 0.
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A spline, spline_1, is defined with discrete data as shown in the following table. The data is then used to generate the interpolation function using the Akima spline fitting method. Since the spline defines a curve rather than a surface, the Second Independent Variable must be set to 0.
In the following example, given the tabular data and a value for the independent variable, the AKISPL returns the interpolated value for the dependent variable:
f = AKISPL(DX(marker_1, marker_2, marker_2), 0, spline_1)  
 
Spline Defined Based on Tabular Data
Learn more about spline functions.
 
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