| Package | Description |
|---|---|
| org.apache.commons.math3.fitting.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
ValueAndJacobianFunction
A interface for functions that compute a vector of values and can compute their
derivatives (Jacobian).
|
| Modifier and Type | Method and Description |
|---|---|
static MultivariateJacobianFunction |
LeastSquaresFactory.model(MultivariateVectorFunction value,
MultivariateMatrixFunction jacobian)
Combine a
MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction. |
| Modifier and Type | Method and Description |
|---|---|
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations)
Create a
LeastSquaresProblem
from the given elements. |
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
RealMatrix weight,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations)
Create a
LeastSquaresProblem
from the given elements. |
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
RealMatrix weight,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations,
boolean lazyEvaluation,
ParameterValidator paramValidator)
Create a
LeastSquaresProblem
from the given elements. |
LeastSquaresBuilder |
LeastSquaresBuilder.model(MultivariateJacobianFunction newModel)
Configure the model function.
|
Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.