Uses of Interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation (Apache Commons Math 3.6.1 API)

## Uses of Interface
org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation

- Packages that use LeastSquaresProblem.Evaluation
  Package | Description
  --- | ---
  org.apache.commons.math3.fitting.leastsquares | This package provides algorithms that minimize the residuals between observations and model values.

- - ### Uses of LeastSquaresProblem.Evaluation in org.apache.commons.math3.fitting.leastsquares

    Subinterfaces of LeastSquaresProblem.Evaluation in org.apache.commons.math3.fitting.leastsquares
    Modifier and Type | Interface and Description
    --- | ---
    `static interface` | `LeastSquaresOptimizer.Optimum` The optimum found by the optimizer.

    Classes in org.apache.commons.math3.fitting.leastsquares that implement LeastSquaresProblem.Evaluation
    Modifier and Type | Class and Description
    --- | ---
    `class` | `AbstractEvaluation` An implementation of `LeastSquaresProblem.Evaluation` that is designed for extension.

    Methods in org.apache.commons.math3.fitting.leastsquares that return LeastSquaresProblem.Evaluation
    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.

    Methods in org.apache.commons.math3.fitting.leastsquares that return types with arguments of type LeastSquaresProblem.Evaluation
    Modifier and Type | Method and Description
    --- | ---
    `static ConvergenceChecker<LeastSquaresProblem.Evaluation>` | LeastSquaresFactory.`evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker)` View a convergence checker specified for a `PointVectorValuePair` as one specified for an `LeastSquaresProblem.Evaluation`.
    `ConvergenceChecker<LeastSquaresProblem.Evaluation>` | LeastSquaresAdapter.`getConvergenceChecker()` Gets the convergence checker.

    Methods in org.apache.commons.math3.fitting.leastsquares with parameters of type LeastSquaresProblem.Evaluation
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | EvaluationRmsChecker.`converged(int iteration, LeastSquaresProblem.Evaluation previous, LeastSquaresProblem.Evaluation current)` Check if the optimization algorithm has converged.

    Method parameters in org.apache.commons.math3.fitting.leastsquares with type arguments of type LeastSquaresProblem.Evaluation
    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 `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.

    `static LeastSquaresProblem`

    LeastSquaresFactory.`create(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations)`
    Create a `LeastSquaresProblem` from the given elements.

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