Package org.tensorics.core.function

Class DefaultInterpolatedFunction<X,Y>

java.lang.Object

org.tensorics.core.function.DefaultInterpolatedFunction<X,Y>

Type Parameters:

X - the type of the independent variable must be comparable. Otherwise is not possible to interpolate.

All Implemented Interfaces:

java.util.function.Function<X,Y>, ContinuousFunction<X,Y>, DiscreteFunction<X,Y>, InterpolatedFunction<X,Y>, MathFunction<X,Y>

public class DefaultInterpolatedFunction<X,Y>
extends java.lang.Object
implements InterpolatedFunction<X,Y>

Encodes a InterpolatedFunction as a combination of a DiscreteFunction plus an InterpolationStrategy.

The obtaining of y-values associated with x-values not defined by the DiscreteFunction is delegated to the InterpolationStrategy.

See Also:

InterpolatedFunction

Constructor Summary

Constructors

Constructor	Description
DefaultInterpolatedFunction(DiscreteFunction<X,Y> function, InterpolationStrategy<Y> strategy, Conversion<X,Y> conversion, java.util.Comparator<X> comparator)

Method Summary

Modifier and Type	Method	Description
Y	apply(X input)
java.util.Set<X>	definedXValues()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.function.Function

andThen, compose

Constructor Detail

DefaultInterpolatedFunction

public DefaultInterpolatedFunction(DiscreteFunction<X,Y> function,
                                   InterpolationStrategy<Y> strategy,
                                   Conversion<X,Y> conversion,
                                   java.util.Comparator<X> comparator)

Method Detail

apply

public Y apply(X input)

Specified by:

apply in interface DiscreteFunction<X,Y>

Specified by:

apply in interface java.util.function.Function<X,Y>

definedXValues

public java.util.Set<X> definedXValues()

Specified by:

definedXValues in interface DiscreteFunction<X,Y>

Returns:

values for which the function is defined