gov.sandia.cognition.math
Interface DifferentiableEvaluator<InputType,OutputType,DerivativeType>

Type Parameters:

InputType - Input to the Evaluator

OutputType - Output of the Evaluator

DerivativeType - Derivative of the Evaluator

All Superinterfaces:

Cloneable, CloneableSerializable, Evaluator<InputType,OutputType>, Serializable

All Known Subinterfaces:

ClosedFormDifferentiableEvaluator<InputType,OutputType,DerivativeType>, DifferentiableUnivariateScalarFunction, DifferentiableVectorFunction, PolynomialFunction.ClosedForm, SmoothCumulativeDistributionFunction, VectorizableDifferentiableVectorFunction

All Known Implementing Classes:

AbstractDifferentiableUnivariateScalarFunction, AdaptiveRejectionSampling.LineSegment, AtanFunction, BetaDistribution.CDF, CauchyDistribution.CDF, ChiSquareDistribution.CDF, CosineFunction, DifferentiableGeneralizedLinearModel, DirectionalVectorToDifferentiableScalarFunction, DirectionalVectorToScalarFunction, DistributionParameterEstimator.DistributionWrapper, ElementWiseDifferentiableVectorFunction, ExponentialDistribution.CDF, GammaDistribution.CDF, IdentityScalarFunction, InverseGammaDistribution.CDF, LaplaceDistribution.CDF, LinearFunction, LinearVectorFunction, LineMinimizerDerivativeBased.InternalFunction, LogisticDistribution.CDF, LogNormalDistribution.CDF, MultivariateDiscriminant, MultivariateDiscriminantWithBias, NumericalDifferentiator, NumericalDifferentiator.DoubleJacobian, NumericalDifferentiator.MatrixJacobian, NumericalDifferentiator.VectorJacobian, ParameterDerivativeFreeCostMinimizer.ParameterCostEvaluatorDerivativeFree, ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased, ParetoDistribution.CDF, PolynomialFunction, PolynomialFunction.Cubic, PolynomialFunction.Linear, PolynomialFunction.Quadratic, ScalarMixtureDensityModel.CDF, SigmoidFunction, StudentTDistribution.CDF, UniformDistribution.CDF, UnivariateGaussian.CDF, WeibullDistribution.CDF

@CodeReview(reviewer="Kevin R. Dixon",
            date="2008-02-08",
            changesNeeded=false,
            comments="Looks fine.")
public interface DifferentiableEvaluator<InputType,OutputType,DerivativeType>
extends Evaluator<InputType,OutputType>, CloneableSerializable

Interface that indicates that the Evaluator can be differentiated about the given input.

Since:

2.0

Author:

Kevin R. Dixon

Method Summary

DerivativeType

differentiate(InputType input) Differentiates the output with respect to the input

Methods inherited from interface gov.sandia.cognition.evaluator.Evaluator

evaluate

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Method Detail

differentiate

DerivativeType differentiate(InputType input)

Differentiates the output with respect to the input

Parameters:

input - Input about which to compute the derivative

Returns:

Derivative of the output with respect to the given input