Package | Description |
---|---|
org.apache.commons.math3.fitting.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
Modifier and Type | Field and Description |
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private ParameterValidator |
LeastSquaresFactory.LocalLeastSquaresProblem.paramValidator
Model parameters validator.
|
private ParameterValidator |
LeastSquaresBuilder.paramValidator
Validator.
|
Modifier and Type | Method and Description |
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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.parameterValidator(ParameterValidator newValidator)
Configure the validator of the model parameters.
|
Constructor and Description |
---|
LocalLeastSquaresProblem(MultivariateJacobianFunction model,
RealVector target,
RealVector start,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations,
boolean lazyEvaluation,
ParameterValidator paramValidator)
Create a
LeastSquaresProblem from the given data. |