| Package | Description |
|---|---|
| org.apache.commons.math3.analysis |
Parent package for common numerical analysis procedures, including root finding,
function interpolation and integration.
|
| org.apache.commons.math3.analysis.differentiation |
This package holds the main interfaces and basic building block classes
dealing with differentiation.
|
| org.apache.commons.math3.fitting |
Classes to perform curve fitting.
|
| org.apache.commons.math3.fitting.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
| org.apache.commons.math3.optim.nonlinear.scalar |
Algorithms for optimizing a scalar function.
|
| org.apache.commons.math3.optim.nonlinear.vector |
Algorithms for optimizing a vector function.
|
| org.apache.commons.math3.optimization |
All classes and sub-packages of this package are deprecated.
|
| org.apache.commons.math3.optimization.direct |
This package provides optimization algorithms that don't require derivatives.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
DifferentiableMultivariateVectorFunction
Deprecated.
as of 3.1 replaced by
MultivariateDifferentiableVectorFunction |
| Modifier and Type | Method and Description |
|---|---|
MultivariateVectorFunction |
DifferentiableMultivariateFunction.gradient()
Deprecated.
Returns the gradient function.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
MultivariateDifferentiableVectorFunction
Extension of
MultivariateVectorFunction representing a
multivariate differentiable vectorial function. |
| Modifier and Type | Class and Description |
|---|---|
class |
GradientFunction
Class representing the gradient of a multivariate function.
|
| Modifier and Type | Method and Description |
|---|---|
MultivariateVectorFunction |
AbstractCurveFitter.TheoreticalValuesFunction.getModelFunction() |
| Modifier and Type | Method and Description |
|---|---|
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateVectorFunction model,
MultivariateMatrixFunction jacobian,
double[] observed,
double[] start,
RealMatrix weight,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations)
Create a
LeastSquaresProblem
from the given elements. |
LeastSquaresBuilder |
LeastSquaresBuilder.model(MultivariateVectorFunction value,
MultivariateMatrixFunction jacobian)
Configure the model function.
|
static MultivariateJacobianFunction |
LeastSquaresFactory.model(MultivariateVectorFunction value,
MultivariateMatrixFunction jacobian)
Combine a
MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction. |
| Modifier and Type | Method and Description |
|---|---|
MultivariateVectorFunction |
ObjectiveFunctionGradient.getObjectiveFunctionGradient()
Gets the gradient of the function to be optimized.
|
| Constructor and Description |
|---|
LeastSquaresConverter(MultivariateVectorFunction function,
double[] observations)
Builds a simple converter for uncorrelated residuals with identical
weights.
|
LeastSquaresConverter(MultivariateVectorFunction function,
double[] observations,
double[] weights)
Builds a simple converter for uncorrelated residuals with the
specified weights.
|
LeastSquaresConverter(MultivariateVectorFunction function,
double[] observations,
RealMatrix scale)
Builds a simple converter for correlated residuals with the
specified weights.
|
ObjectiveFunctionGradient(MultivariateVectorFunction g) |
| Modifier and Type | Method and Description |
|---|---|
MultivariateVectorFunction |
ModelFunction.getModelFunction()
Deprecated.
Gets the model function to be optimized.
|
| Constructor and Description |
|---|
ModelFunction(MultivariateVectorFunction m)
Deprecated.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction>
Deprecated.
As of 3.1 (to be removed in 4.0).
|
interface |
BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>
Deprecated.
As of 3.1 (to be removed in 4.0).
|
| Constructor and Description |
|---|
LeastSquaresConverter(MultivariateVectorFunction function,
double[] observations)
Deprecated.
Build a simple converter for uncorrelated residuals with the same weight.
|
LeastSquaresConverter(MultivariateVectorFunction function,
double[] observations,
double[] weights)
Deprecated.
Build a simple converter for uncorrelated residuals with the specific weights.
|
LeastSquaresConverter(MultivariateVectorFunction function,
double[] observations,
RealMatrix scale)
Deprecated.
Build a simple converter for correlated residuals with the specific weights.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>
Deprecated.
As of 3.1 (to be removed in 4.0).
|
Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.