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.
|
Modifier and Type | Method and Description |
---|---|
PolynomialFunction.ClosedForm |
LineBracketInterpolatorHermiteCubic.computePolynomial(LineBracket bracket,
DifferentiableUnivariateScalarFunction function) |
PolynomialFunction.ClosedForm |
LineBracketInterpolatorHermiteParabola.computePolynomial(LineBracket bracket,
DifferentiableUnivariateScalarFunction function) |
PolynomialFunction.ClosedForm |
LineBracketInterpolatorParabola.computePolynomial(LineBracket bracket,
Evaluator<java.lang.Double,java.lang.Double> function) |
abstract PolynomialFunction.ClosedForm |
AbstractLineBracketInterpolatorPolynomial.computePolynomial(LineBracket bracket,
EvaluatorType function)
Fits the interpolating polynomial to the given LineBracket
|
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.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.
|
Modifier and Type | Class and Description |
---|---|
static class |
AdaptiveRejectionSampling.LineSegment
A line that has a minimum and maximum support (x-axis) value.
|