org.tensorics.core.function.interpolation

Interface InterpolationStrategy<Y>

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

Modifier and Type	Method and 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<ManipulationOption>