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

Packages that use PointVectorValuePair
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.optim

Methods in org.apache.commons.math3.optim with parameters of type PointVectorValuePair
`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
`PointVectorValuePair[]` | `MultiStartMultivariateVectorOptimizer.getOptima()` Gets all the optima found during the last call to `optimize`.
`PointVectorValuePair` | `JacobianMultivariateVectorOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointVectorValuePair` | `MultivariateVectorOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Methods in org.apache.commons.math3.optim.nonlinear.vector with parameters of type PointVectorValuePair
`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
`JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)`
`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
`PointVectorValuePair` | `GaussNewtonOptimizer.doOptimize()` Performs the bulk of the optimization algorithm.
`protected PointVectorValuePair` | `LevenbergMarquardtOptimizer.doOptimize()` Performs the bulk of the optimization algorithm.
`PointVectorValuePair` | `AbstractLeastSquaresOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

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

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