Uses of Interface
org.apache.commons.math4.legacy.optim.OptimizationData

Packages that use OptimizationData

Package	Description
org.apache.commons.math4.legacy.fitting.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.
org.apache.commons.math4.legacy.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
org.apache.commons.math4.legacy.optim.linear	Optimization algorithms for linear constrained problems.
org.apache.commons.math4.legacy.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient	This package provides optimization algorithms that require derivatives.
org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math4.legacy.optim.univariate	One-dimensional optimization algorithms.

Uses of OptimizationData in org.apache.commons.math4.legacy.fitting.leastsquares

Classes in org.apache.commons.math4.legacy.fitting.leastsquares that implement OptimizationData

Modifier and Type	Class	Description
class	EvaluationRmsChecker	Check if an optimization has converged based on the change in computed RMS.

Uses of OptimizationData in org.apache.commons.math4.legacy.optim

Subinterfaces of OptimizationData in org.apache.commons.math4.legacy.optim

Modifier and Type	Interface	Description
interface	ConvergenceChecker<PAIR>	This interface specifies how to check if an optimization algorithm has converged.

Classes in org.apache.commons.math4.legacy.optim that implement OptimizationData

Modifier and Type	Class	Description
class	AbstractConvergenceChecker<PAIR>	Base class for all convergence checker implementations.
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.
class	SimplePointChecker<PAIR extends Pair<double[],? extends Object>>	Simple implementation of the ConvergenceChecker interface using only point coordinates.
class	SimpleValueChecker	Simple implementation of the ConvergenceChecker interface using only objective function values.
class	SimpleVectorValueChecker	Simple implementation of the ConvergenceChecker interface using only objective function values.
class	Tolerance	Default tolerances values.

Methods in org.apache.commons.math4.legacy.optim with parameters of type OptimizationData

Modifier and Type	Method	Description
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.
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.math4.legacy.optim.linear

Classes in org.apache.commons.math4.legacy.optim.linear that implement OptimizationData

Modifier and Type	Class	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.math4.legacy.optim.linear with parameters of type OptimizationData

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

Uses of OptimizationData in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Classes in org.apache.commons.math4.legacy.optim.nonlinear.scalar that implement OptimizationData

Modifier and Type	Class	Description
class	GoalType	Goal type for an optimization problem (minimization or maximization of a scalar function.
class	LineSearchTolerance	Tolerances for line search.
class	ObjectiveFunction	Scalar function to be optimized.
class	ObjectiveFunctionGradient	Gradient of the scalar function to be optimized.
class	PopulationSize	Population size.
class	Sigma	Input sigma values define the initial coordinate-wise extent for sampling the solution space around the initial guess.
class	SimulatedAnnealing	Simulated annealing setup.

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar with parameters of type OptimizationData

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

Uses of OptimizationData in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient with parameters of type OptimizationData

Modifier and Type	Method	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.math4.legacy.optim.nonlinear.scalar.noderiv

Subinterfaces of OptimizationData in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Modifier and Type	Interface	Description
static interface	Simplex.TransformFactory	Generator of simplex transform.

Classes in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv that implement OptimizationData

Modifier and Type	Class	Description
class	HedarFukushimaTransform	DSSA algorithm.
class	MultiDirectionalTransform	Multi-directional search method.
class	NelderMeadTransform	Nelder-Mead method.
class	Simplex	Represents a simplex.

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv with parameters of type OptimizationData

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

Uses of OptimizationData in org.apache.commons.math4.legacy.optim.univariate

Classes in org.apache.commons.math4.legacy.optim.univariate that implement OptimizationData

Modifier and Type	Class	Description
class	SearchInterval	Search interval and (optional) start value.
class	SimpleUnivariateValueChecker	Simple implementation of the ConvergenceChecker interface that uses only objective function values.
class	UnivariateObjectiveFunction	Scalar function to be optimized.

Methods in org.apache.commons.math4.legacy.optim.univariate with parameters of type OptimizationData

Modifier and Type	Method	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.