| Package | Description |
|---|---|
| gov.sandia.cognition.learning.algorithm.minimization |
Provides minimization algorithms.
|
| gov.sandia.cognition.learning.algorithm.minimization.line |
Provides line (scalar) minimization algorithms.
|
| 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.algorithm.regression |
Provides regression algorithms, such as Linear Regression.
|
| gov.sandia.cognition.learning.algorithm.root |
Provides algorithms for finding the roots, or zero crossings, of scalar functions.
|
| gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
| Class and Description |
|---|
| 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.
|
| LineMinimizer
Defines the functionality of a line-minimization algorithm, often called a
"line search" algorithm.
|
| Class and Description |
|---|
| AbstractAnytimeLineMinimizer
Partial AnytimeAlgorithm implementation of a LineMinimizer.
|
| 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.
|
| 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.
|
| InputOutputSlopeTriplet
Stores an InputOutputPair with corresponding slope (gradient) information
|
| LineBracket
Class that defines a bracket for a scalar function.
|
| LineMinimizer
Defines the functionality of a line-minimization algorithm, often called a
"line search" algorithm.
|
| WolfeConditions
The Wolfe conditions define a set of sufficient conditions for
"sufficient decrease" in inexact line search.
|
| Class and Description |
|---|
| LineBracket
Class that defines a bracket for a scalar function.
|
| Class and Description |
|---|
| LineMinimizer
Defines the functionality of a line-minimization algorithm, often called a
"line search" algorithm.
|
| Class and Description |
|---|
| LineBracket
Class that defines a bracket for a scalar function.
|
| LineMinimizer
Defines the functionality of a line-minimization algorithm, often called a
"line search" algorithm.
|
| Class and Description |
|---|
| InputOutputSlopeTriplet
Stores an InputOutputPair with corresponding slope (gradient) information
|