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## Uses of Interface
org.apache.commons.math3.optim.OptimizationData

Packages that use OptimizationData
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.linear | Optimization algorithms for linear constrained problems.
org.apache.commons.math3.optim.nonlinear.scalar | Algorithms for optimizing a scalar function.
org.apache.commons.math3.optim.nonlinear.scalar.gradient | This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv | This package provides optimization algorithms that do not require derivatives.
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.
org.apache.commons.math3.optim.univariate | One-dimensional optimization algorithms.

Uses of OptimizationData in org.apache.commons.math3.optim

Classes in org.apache.commons.math3.optim that implement OptimizationData
`class` | `InitialGuess` Starting point (first guess) of the optimization procedure.
`class` | `MaxEval` Maximum number of evaluations of the function to be optimized.
`class` | `MaxIter` Maximum number of iterations performed by an (iterative) algorithm.
`class` | `SimpleBounds` Simple optimization constraints: lower and upper bounds.

Methods in org.apache.commons.math3.optim with parameters of type OptimizationData
`PAIR` | `BaseMultiStartMultivariateOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PAIR` | `BaseMultivariateOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PAIR` | `BaseOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.linear

Classes in org.apache.commons.math3.optim.linear that implement OptimizationData
`class` | `LinearConstraintSet` Class that represents a set of `linear constraints`.
`class` | `LinearObjectiveFunction` An objective function for a linear optimization problem.
`class` | `NonNegativeConstraint` A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.

Methods in org.apache.commons.math3.optim.linear with parameters of type OptimizationData
`PointValuePair` | `LinearOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.nonlinear.scalar

Classes in org.apache.commons.math3.optim.nonlinear.scalar that implement OptimizationData
`class` | `GoalType` Goal type for an optimization problem (minimization or maximization of a scalar function.
`class` | `ObjectiveFunction` Scalar function to be optimized.
`class` | `ObjectiveFunctionGradient` Gradient of the scalar function to be optimized.

Methods in org.apache.commons.math3.optim.nonlinear.scalar with parameters of type OptimizationData
`PointValuePair` | `GradientMultivariateOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointValuePair` | `MultivariateOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.nonlinear.scalar.gradient

Classes in org.apache.commons.math3.optim.nonlinear.scalar.gradient that implement OptimizationData
`static class` | `NonLinearConjugateGradientOptimizer.BracketingStep` The initial step is a factor with respect to the search direction (which itself is roughly related to the gradient of the function).

Methods in org.apache.commons.math3.optim.nonlinear.scalar.gradient with parameters of type OptimizationData
`PointValuePair` | `NonLinearConjugateGradientOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.nonlinear.scalar.noderiv

Classes in org.apache.commons.math3.optim.nonlinear.scalar.noderiv that implement OptimizationData
`class` | `AbstractSimplex` This class implements the simplex concept.
`static class` | `CMAESOptimizer.PopulationSize` Population size.
`static class` | `CMAESOptimizer.Sigma` Input sigma values.
`class` | `MultiDirectionalSimplex` This class implements the multi-directional direct search method.
`class` | `NelderMeadSimplex` This class implements the Nelder-Mead simplex algorithm.

Methods in org.apache.commons.math3.optim.nonlinear.scalar.noderiv with parameters of type OptimizationData
`PointValuePair` | `SimplexOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointValuePair` | `CMAESOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.nonlinear.vector

Classes in org.apache.commons.math3.optim.nonlinear.vector that implement OptimizationData
`class` | `ModelFunction` Model (vector) function to be optimized.
`class` | `ModelFunctionJacobian` Jacobian of the model (vector) function to be optimized.
`class` | `Target` Target of the optimization procedure.
`class` | `Weight` Weight matrix of the residuals between model and observations.

Methods in org.apache.commons.math3.optim.nonlinear.vector with parameters of type OptimizationData
`PointVectorValuePair` | `JacobianMultivariateVectorOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointVectorValuePair` | `MultivariateVectorOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.nonlinear.vector.jacobian

Methods in org.apache.commons.math3.optim.nonlinear.vector.jacobian with parameters of type OptimizationData
`PointVectorValuePair` | `AbstractLeastSquaresOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

Uses of OptimizationData in org.apache.commons.math3.optim.univariate

Classes in org.apache.commons.math3.optim.univariate that implement OptimizationData
`class` | `SearchInterval` Search interval and (optional) start value.
`class` | `UnivariateObjectiveFunction` Scalar function to be optimized.

Methods in org.apache.commons.math3.optim.univariate with parameters of type OptimizationData
`UnivariatePointValuePair` | `MultiStartUnivariateOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.
`UnivariatePointValuePair` | `UnivariateOptimizer.optimize(OptimizationData... optData)` Stores data and performs the optimization.

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