modelCubicHermite
Test problem for cubic hermite splines
Extends from Modelica.Icons.Example (Icon for runnable examples).
Information
This example demonstrates the use of the function for cubic hermite interpolation and linear extrapolation. The example use interpolation with two different settings: One settings produces a monotone cubic hermite, whereas the other setting does not enforce monotonicity. The resulting plot should look as shown below, where for better visibility, the support points have been marked with black dots. Notice that the red curve is monotonically increasing.
Parameters
| Type | Name | Default | Description |
|---|---|---|---|
| Real | xd | {-1, 1, 5, 6} | Support points |
| Real | yd | {-1, 1, 2, 10} | Support points |
| Real | d | Derivatives at the support points | |
| Real | dMonotone | Derivatives at the support points | |
| Boolean | ensureMonotonicity | true |
Components
| Type | Name | Default | Description |
|---|---|---|---|
| Real | x | Independent variable | |
| Real | y | Dependent variable without monotone interpolation | |
| Real | yMonotone | Dependent variable with monotone interpolation | |
| Integer | i | Integer to select data interval |
Revisions
-
March 8, 2013, by Michael Wetter:
First implementation.