Uses of Interface org.apache.commons.math3.optim.OptimizationData (Apache Commons Math 3.6.1 API)

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Packages that use OptimizationData
Package	Description
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
Modifier and Type	Class and Description
`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
Modifier and Type	Method and Description
`PAIR`	BaseMultivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PAIR`	BaseOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PAIR`	BaseMultiStartMultivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`protected void`	BaseMultivariateOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.
`protected void`	BaseOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

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

Classes in org.apache.commons.math3.optim.linear that implement OptimizationData
Modifier and Type	Class and Description
`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.
`class`	`PivotSelectionRule` Pivot selection rule to the use for a Simplex solver.
`class`	`SolutionCallback` A callback object that can be provided to a linear optimizer to keep track of the best solution found.

Methods in org.apache.commons.math3.optim.linear with parameters of type OptimizationData
Modifier and Type	Method and Description
`PointValuePair`	SimplexSolver.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointValuePair`	LinearOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`protected void`	SimplexSolver.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.
`protected void`	LinearOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

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

Classes in org.apache.commons.math3.optim.nonlinear.scalar that implement OptimizationData
Modifier and Type	Class and Description
`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
Modifier and Type	Method and Description
`PointValuePair`	MultivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointValuePair`	GradientMultivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`protected void`	MultivariateOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.
`protected void`	GradientMultivariateOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

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
Modifier and Type	Class and Description
`static class`	`NonLinearConjugateGradientOptimizer.BracketingStep` Deprecated. As of v3.3, this class is not used anymore. This setting is replaced by the `initialBracketingRange` argument to the new constructors.

Methods in org.apache.commons.math3.optim.nonlinear.scalar.gradient with parameters of type OptimizationData
Modifier and Type	Method and Description
`PointValuePair`	NonLinearConjugateGradientOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`protected void`	NonLinearConjugateGradientOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

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
Modifier and Type	Class and Description
`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
Modifier and Type	Method and Description
`PointValuePair`	SimplexOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`PointValuePair`	CMAESOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`protected void`	SimplexOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.
`protected void`	CMAESOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

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

Classes in org.apache.commons.math3.optim.nonlinear.vector that implement OptimizationData
Modifier and Type	Class and Description
`class`	`ModelFunction` Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
`class`	`ModelFunctionJacobian` Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
`class`	`Target` Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
`class`	`Weight` Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).

Methods in org.apache.commons.math3.optim.nonlinear.vector with parameters of type OptimizationData
Modifier and Type	Method and Description
`PointVectorValuePair`	MultivariateVectorOptimizer.`optimize(OptimizationData... optData)` Deprecated. Stores data and performs the optimization.
`PointVectorValuePair`	JacobianMultivariateVectorOptimizer.`optimize(OptimizationData... optData)` Deprecated. Stores data and performs the optimization.
`protected void`	MultivariateVectorOptimizer.`parseOptimizationData(OptimizationData... optData)` Deprecated. Scans the list of (required and optional) optimization data that characterize the problem.
`protected void`	JacobianMultivariateVectorOptimizer.`parseOptimizationData(OptimizationData... optData)` Deprecated. Scans the list of (required and optional) optimization data that characterize the problem.

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
Modifier and Type	Method and Description
`PointVectorValuePair`	AbstractLeastSquaresOptimizer.`optimize(OptimizationData... optData)` Deprecated. Stores data and performs the optimization.
`protected void`	AbstractLeastSquaresOptimizer.`parseOptimizationData(OptimizationData... optData)` Deprecated. Scans the list of (required and optional) optimization data that characterize the problem.

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

Classes in org.apache.commons.math3.optim.univariate that implement OptimizationData
Modifier and Type	Class and Description
`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
Modifier and Type	Method and Description
`UnivariatePointValuePair`	MultiStartUnivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`UnivariatePointValuePair`	UnivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
`protected void`	UnivariateOptimizer.`parseOptimizationData(OptimizationData... optData)` Scans the list of (required and optional) optimization data that characterize the problem.

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