InterpolationStrategy (tensorics-core API)

Type Parameters:

Y - the type of the dependent variable (output) of the discrete function

All Superinterfaces:

ManipulationOption, Option<ManipulationOption>, java.io.Serializable

All Known Implementing Classes:

LinearInterpolationStrategy
```
public interface InterpolationStrategy<Y>
extends java.io.Serializable, ManipulationOption
```
A strategy defines how to calculate values of Y of a DiscreteFunction from a finite set of values of X.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default java.lang.Class<? extends ManipulationOption>`	`getMarkerInterface()`
`<X> Y`	`interpolate(X xValue, DiscreteFunction<X,Y> function, Conversion<X,Y> conversion, java.util.Comparator<X> comparator)`	Given a value of X, a discrete function from X to Y and a conversion from X to Y, returns the interpolated value of the function at the given point

- Method Detail
  - interpolate
```
<X> Y interpolate(X xValue,
                  DiscreteFunction<X,Y> function,
                  Conversion<X,Y> conversion,
                  java.util.Comparator<X> comparator)
```
    Given a value of X, a discrete function from X to Y and a conversion from X to Y, returns the interpolated value of the function at the given point
    
    Parameters:
    
    xValue - value of x for which you want to know the function output value
    
    function - DiscreteFunction to interpolate
    
    conversion - defines how values of X domain are transformed into values of Y domain. It is needed for performing any kind of interpolation.
    
    Returns:
    
    the interpolated value of y for the function at xValue
  - getMarkerInterface
```
default java.lang.Class<? extends ManipulationOption> getMarkerInterface()
```
    Specified by:
    
    getMarkerInterface in interface Option<Y>