Uses of Class
gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Linear

Packages that use PolynomialFunction.Linear

Package	Description
gov.sandia.cognition.learning.algorithm.minimization.line.interpolator	Provides line (scalar) interpolation/extrapolation algorithms that fit an algebraic function to a (small) collection of data points.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.

Uses of PolynomialFunction.Linear in gov.sandia.cognition.learning.algorithm.minimization.line.interpolator

Methods in gov.sandia.cognition.learning.algorithm.minimization.line.interpolator that return PolynomialFunction.Linear

Modifier and Type	Method and Description
PolynomialFunction.Linear	LineBracketInterpolatorLinear.computePolynomial(LineBracket bracket, Evaluator<java.lang.Double,java.lang.Double> function)

Uses of PolynomialFunction.Linear in gov.sandia.cognition.learning.function.scalar

Subclasses of PolynomialFunction.Linear in gov.sandia.cognition.learning.function.scalar

Modifier and Type	Class and Description
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.Quadratic Utilities for algebraic treatment of a quadratic polynomial of the form y(x) = q0 + q1*x + q2*x^2.

Methods in gov.sandia.cognition.learning.function.scalar that return PolynomialFunction.Linear

Modifier and Type	Method and Description
PolynomialFunction.Linear	PolynomialFunction.Linear.clone()
static PolynomialFunction.Linear	PolynomialFunction.Linear.fit(InputOutputPair<java.lang.Double,java.lang.Double> p0, InputOutputPair<java.lang.Double,java.lang.Double> p1) Fits a linear (straight-line) curve to the given data points
static PolynomialFunction.Linear	PolynomialFunction.Linear.fit(InputOutputSlopeTriplet p0) Fits a linear (stright-line) curve to the given data point

Uses of PolynomialFunction.Linear in gov.sandia.cognition.statistics.bayesian

Subclasses of PolynomialFunction.Linear in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Class and Description
static class	AdaptiveRejectionSampling.LineSegment A line that has a minimum and maximum support (x-axis) value.

Methods in gov.sandia.cognition.statistics.bayesian that return PolynomialFunction.Linear

Modifier and Type	Method and Description
static PolynomialFunction.Linear	AdaptiveRejectionSampling.Point.line(int index, java.util.ArrayList<AdaptiveRejectionSampling.Point> points) Connects the points at index and index + 1 with a straight line.

Methods in gov.sandia.cognition.statistics.bayesian with parameters of type PolynomialFunction.Linear

Modifier and Type	Method and Description
static double	AdaptiveRejectionSampling.Point.intercept(PolynomialFunction.Linear line1, PolynomialFunction.Linear line2) Computes the x-axis value where the two lines intersect

Constructors in gov.sandia.cognition.statistics.bayesian with parameters of type PolynomialFunction.Linear

Constructor and Description
LineSegment(PolynomialFunction.Linear line, double left, double right) Creates a new instance of LineSegment