smile.math

Class AbstractDifferentiableMultivariateFunction

java.lang.Object

smile.math.AbstractDifferentiableMultivariateFunction

All Implemented Interfaces:

java.io.Serializable, java.util.function.ToDoubleFunction<double[]>, DifferentiableMultivariateFunction, MultivariateFunction

public abstract class AbstractDifferentiableMultivariateFunction
extends java.lang.Object
implements DifferentiableMultivariateFunction

An abstract implementation that uses finite differences to calculate the partial derivatives instead of providing them analytically.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractDifferentiableMultivariateFunction()

Method Summary

Modifier and Type	Method and Description
double	g(double[] x, double[] gradient) Computes the value and gradient at x.

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.math.MultivariateFunction

apply, applyAsDouble, f

Constructor Detail

AbstractDifferentiableMultivariateFunction

public AbstractDifferentiableMultivariateFunction()

Method Detail

g

public double g(double[] x,
                double[] gradient)

Description copied from interface: DifferentiableMultivariateFunction

Computes the value and gradient at x.

Specified by:

g in interface DifferentiableMultivariateFunction