## Uses of Class
org.apache.commons.math3.optim.PointVectorValuePair

- Packages that use PointVectorValuePair
  Package | Description
  --- | ---
  org.apache.commons.math3.fitting.leastsquares | This package provides algorithms that minimize the residuals between observations and model values.
  org.apache.commons.math3.optim | Generally, optimizers are algorithms that will either `minimize` or `maximize` a scalar function, called the `objective function`.
  org.apache.commons.math3.optim.nonlinear.vector | Algorithms for optimizing a vector function.
  org.apache.commons.math3.optim.nonlinear.vector.jacobian | This package provides optimization algorithms that require derivatives.

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

    Method parameters in org.apache.commons.math3.fitting.leastsquares with type arguments of type PointVectorValuePair
    Modifier and Type | Method and Description
    --- | ---
    `LeastSquaresBuilder` | LeastSquaresBuilder.`checkerPair(ConvergenceChecker<PointVectorValuePair> newChecker)` Configure the convergence checker.
    `static ConvergenceChecker<LeastSquaresProblem.Evaluation>` | LeastSquaresFactory.`evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker)` View a convergence checker specified for a `PointVectorValuePair` as one specified for an `LeastSquaresProblem.Evaluation`.

  - ### Uses of PointVectorValuePair in org.apache.commons.math3.optim

    Methods in org.apache.commons.math3.optim with parameters of type PointVectorValuePair
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | SimpleVectorValueChecker.`converged(int iteration, PointVectorValuePair previous, PointVectorValuePair current)` Check if the optimization algorithm has converged considering the last two points.

  - ### Uses of PointVectorValuePair in org.apache.commons.math3.optim.nonlinear.vector

    Methods in org.apache.commons.math3.optim.nonlinear.vector that return PointVectorValuePair
    Modifier and Type | Method and Description
    --- | ---
    `PointVectorValuePair[]` | MultiStartMultivariateVectorOptimizer.`getOptima()` Gets all the optima found during the last call to `optimize`.
    `PointVectorValuePair` | MultivariateVectorOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
    `PointVectorValuePair` | JacobianMultivariateVectorOptimizer.`optimize(OptimizationData... optData)` Deprecated. Stores data and performs the optimization.

    Methods in org.apache.commons.math3.optim.nonlinear.vector with parameters of type PointVectorValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected void` | MultiStartMultivariateVectorOptimizer.`store(PointVectorValuePair optimum)` Method that will be called in order to store each found optimum.

    Constructor parameters in org.apache.commons.math3.optim.nonlinear.vector with type arguments of type PointVectorValuePair
    Constructor and Description
    `JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)` Deprecated.
    `MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)`

  - ### Uses of PointVectorValuePair in org.apache.commons.math3.optim.nonlinear.vector.jacobian

    Methods in org.apache.commons.math3.optim.nonlinear.vector.jacobian that return PointVectorValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected PointVectorValuePair` | LevenbergMarquardtOptimizer.`doOptimize()` Deprecated. Performs the bulk of the optimization algorithm.
    `PointVectorValuePair` | GaussNewtonOptimizer.`doOptimize()` Deprecated. Performs the bulk of the optimization algorithm.
    `PointVectorValuePair` | AbstractLeastSquaresOptimizer.`optimize(OptimizationData... optData)` Deprecated. Stores data and performs the optimization.

    Constructor parameters in org.apache.commons.math3.optim.nonlinear.vector.jacobian with type arguments of type PointVectorValuePair
    Constructor and Description
    `AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair> checker)` Deprecated.
    `GaussNewtonOptimizer(boolean useLU, ConvergenceChecker<PointVectorValuePair> checker)` Deprecated.
    `GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair> checker)` Deprecated. Simple constructor with default settings.
    `LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair> checker)` Deprecated. Constructor that allows the specification of a custom convergence checker.
    `LevenbergMarquardtOptimizer(double initialStepBoundFactor, ConvergenceChecker<PointVectorValuePair> checker, double costRelativeTolerance, double parRelativeTolerance, double orthoTolerance, double threshold)` Deprecated. Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.

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