Uses of Class
gov.sandia.cognition.math.AbstractUnivariateScalarFunction

Packages that use AbstractUnivariateScalarFunction

Package	Description
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.root	Provides algorithms for finding the roots, or zero crossings, of scalar functions.
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.math	Provides classes for mathematical computation.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.algorithm.minimization.line

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.algorithm.minimization.line

Modifier and Type	Class and Description
class	DirectionalVectorToDifferentiableScalarFunction Creates a truly differentiable scalar function from a differentiable Vector function, instead of using a forward-differences approximation to the derivative like DirectionalVectorToScalarFunction does.
class	DirectionalVectorToScalarFunction Maps a vector function onto a scalar one by using a directional vector and vector offset, and the parameter to the function is a scalar value along the direction from the start-point offset.
class	LineMinimizerDerivativeBased.InternalFunction Internal function used to map/remap/unmap the search direction.

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.algorithm.root

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.algorithm.root

Modifier and Type	Class and Description
class	SolverFunction Evaluator that allows RootFinders to solve for nonzero values by setting a "target" parameter.

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.data.feature

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.data.feature

Modifier and Type	Class and Description
class	StandardDistributionNormalizer The StandardDistributionNormalizer class implements a normalization method where a real value is converted onto a standard distribution.

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.function.scalar

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.learning.function.scalar

Modifier and Type	Class and Description
class	AtanFunction Returns the element-wise arctangent of the input vector, compressed between -maxMagnitude and maxMagnitude (instead of just -PI/2 and PI/2)
class	CosineFunction A closed-form cosine function.
class	HardSigmoidFunction A hard sigmoid function, which is an approximation of a logistic sigmoid whose output is between 0 and 1.
class	HardTanHFunction A hard sigmoid function, which is an approximation of a tanh sigmoid whose output is between -1 and 1.
class	IdentityScalarFunction A univariate scalar identity function: f(x) = x.
class	LeakyRectifiedLinearFunction A leaky rectified linear unit.
class	LinearFunction This function acts as a simple linear function of the form f(x) = m*x + b.
class	PolynomialFunction A single polynomial term specified by a real-valued exponent.
static class	PolynomialFunction.Cubic Algebraic treatment for a polynomial of the form y(x) = q0 + q1*x + q2*x^2 + q3*x^3
static class	PolynomialFunction.Linear Utilities for algebraic treatment of a linear polynomial of the form y(x) = q0 + q1*x
static class	PolynomialFunction.Quadratic Utilities for algebraic treatment of a quadratic polynomial of the form y(x) = q0 + q1*x + q2*x^2.
class	RectifiedLinearFunction A rectified linear unit, which is the maximum of its input or 0.
class	SigmoidFunction An implementation of a sigmoid squashing function.
class	SoftPlusFunction A smoothed approximation for rectified linear unit.
class	TanHFunction The hyperbolic tangent (tanh) function.
class	ThresholdFunction Maps the input space onto the set {LOW_VALUE,HIGH_VALUE}.

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.math

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.math

Modifier and Type	Class and Description
class	AbstractDifferentiableUnivariateScalarFunction Partial implementation of DifferentiableUnivariateScalarFunction that implements the differentiate(Double) method with a callback to the differentiate(double) method, so that a concrete class only to implement the differentiate(double) method

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.statistics.bayesian

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Class and Description
class	AdaptiveRejectionSampling.AbstractEnvelope Describes an enveloping function comprised of a sorted sequence of lines
static class	AdaptiveRejectionSampling.LineSegment A line that has a minimum and maximum support (x-axis) value.
static class	AdaptiveRejectionSampling.LogEvaluator<EvaluatorType extends Evaluator<java.lang.Double,java.lang.Double>> Wraps an Evaluator and takes the natural logarithm of the evaluate method
class	AdaptiveRejectionSampling.LowerEnvelope Define the lower envelope for Adaptive Rejection Sampling
static class	AdaptiveRejectionSampling.PDFLogEvaluator Wraps a PDF so that it returns the logEvaluate method.
class	AdaptiveRejectionSampling.UpperEnvelope Constructs the upper envelope for sampling.

Uses of AbstractUnivariateScalarFunction in gov.sandia.cognition.statistics.distribution

Subclasses of AbstractUnivariateScalarFunction in gov.sandia.cognition.statistics.distribution

Modifier and Type	Class and Description
static class	UnivariateGaussian.ErrorFunction Gaussian Error Function, useful for computing the cumulative distribution function for a Gaussian.
static class	UnivariateGaussian.ErrorFunction.Inverse Inverse of the ErrorFunction