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.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 |
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()
Gets the model function to be optimized.
|
Constructor and Description |
---|
ModelFunction(MultivariateVectorFunction m) |
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).
|
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