| 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  | ValueAndJacobianFunctionA 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  MultivariateVectorFunctionwith aMultivariateMatrixFunctionto produce aMultivariateJacobianFunction. | 
| 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  LeastSquaresProblemfrom 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  LeastSquaresProblemfrom 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  LeastSquaresProblemfrom the given elements. | 
| LeastSquaresBuilder | LeastSquaresBuilder. model(MultivariateJacobianFunction newModel)Configure the model function. | 
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