| 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 | 
|---|---|
| static interface  | LeastSquaresOptimizer.OptimumThe optimum found by the optimizer. | 
| Modifier and Type | Class and Description | 
|---|---|
| class  | AbstractEvaluationAn implementation of  LeastSquaresProblem.Evaluationthat is designed for extension. | 
| Modifier and Type | Method and Description | 
|---|---|
| LeastSquaresProblem.Evaluation | LeastSquaresAdapter. evaluate(RealVector point)Evaluate the model at the specified point. | 
| LeastSquaresProblem.Evaluation | LeastSquaresProblem. evaluate(RealVector point)Evaluate the model at the specified point. | 
| Modifier and Type | Method and Description | 
|---|---|
| static ConvergenceChecker<LeastSquaresProblem.Evaluation> | LeastSquaresFactory. evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker)View a convergence checker specified for a  PointVectorValuePairas one
 specified for anLeastSquaresProblem.Evaluation. | 
| ConvergenceChecker<LeastSquaresProblem.Evaluation> | LeastSquaresAdapter. getConvergenceChecker()Gets the convergence checker. | 
| Modifier and Type | Method and Description | 
|---|---|
| boolean | EvaluationRmsChecker. converged(int iteration,
         LeastSquaresProblem.Evaluation previous,
         LeastSquaresProblem.Evaluation current)Check if the optimization algorithm has converged. | 
| Modifier and Type | Method and Description | 
|---|---|
| LeastSquaresBuilder | LeastSquaresBuilder. checker(ConvergenceChecker<LeastSquaresProblem.Evaluation> newChecker)Configure the convergence checker. | 
| 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. | 
| static LeastSquaresProblem | LeastSquaresFactory. create(MultivariateVectorFunction model,
      MultivariateMatrixFunction jacobian,
      double[] observed,
      double[] start,
      RealMatrix weight,
      ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
      int maxEvaluations,
      int maxIterations)Create a  LeastSquaresProblemfrom the given elements. | 
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