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.
|
Modifier and Type | Class and Description |
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class |
AbstractLineBracketInterpolatorPolynomial<EvaluatorType extends Evaluator<java.lang.Double,java.lang.Double>>
Partial implementation of a LineBracketInterpolator based on a closed-form
polynomial function.
|
class |
LineBracketInterpolatorBrent
Implements Brent's method of function interpolation to find a minimum.
|
class |
LineBracketInterpolatorGoldenSection
Interpolates between the two bound points of a LineBracket using the
golden-section step rule, if that step fails, then the interpolator uses
a linear (secant) interpolation.
|
class |
LineBracketInterpolatorHermiteCubic
Interpolates using a cubic with two points, both of which must have
slope information.
|
class |
LineBracketInterpolatorHermiteParabola
Interpolates using a parabola with two points, at least one of which must
have slope information.
|
class |
LineBracketInterpolatorLinear
Interpolates using a linear (stright-line) curve between two
points, neither of which need slope information.
|
class |
LineBracketInterpolatorParabola
Interpolates using a parabola based on three points without
slope information.
|