Uses of Interface
org.hipparchus.optim.OptimizationData

Packages that use OptimizationData

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

Uses of OptimizationData in org.hipparchus.optim

Classes in org.hipparchus.optim that implement OptimizationData

Modifier and Type	Class	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.hipparchus.optim with parameters of type OptimizationData

Modifier and Type	Method	Description
P	BaseMultiStartMultivariateOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.
P	BaseMultivariateOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.
P	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.hipparchus.optim.linear

Classes in org.hipparchus.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.
enum	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.hipparchus.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.hipparchus.optim.nonlinear.scalar

Classes in org.hipparchus.optim.nonlinear.scalar that implement OptimizationData

Modifier and Type	Class	Description
enum	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.hipparchus.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.hipparchus.optim.nonlinear.scalar.gradient

Methods in org.hipparchus.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.hipparchus.optim.nonlinear.scalar.noderiv

Classes in org.hipparchus.optim.nonlinear.scalar.noderiv that implement OptimizationData

Modifier and Type	Class	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.hipparchus.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.
PointValuePair	SimplexOptimizer.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.hipparchus.optim.nonlinear.vector.constrained

Subinterfaces of OptimizationData in org.hipparchus.optim.nonlinear.vector.constrained

Modifier and Type	Interface	Description
interface	Constraint	Generic constraint.
interface	KarushKuhnTuckerSolver<T>	Karush–Kuhn–Tucker Solver.

Classes in org.hipparchus.optim.nonlinear.vector.constrained that implement OptimizationData

Modifier and Type	Class	Description
class	ADMMQPConvergenceChecker	Convergence Checker for ADMM QP Optimizer.
class	ADMMQPKKT	Alternative Direction Method of Multipliers Solver.
class	ADMMQPOption	Container for ADMMQPOptimizer settings.
class	BoundedConstraint	Constraint with lower and upper bounds: $l\le f(x)\le u$.
class	EqualityConstraint	Equality Constraint.
class	InequalityConstraint	Inequality Constraint with lower bound only: $l\le f(x)$.
class	LinearBoundedConstraint	A set of linear inequality constraints expressed as ub>Ax>lb.
class	LinearEqualityConstraint	A set of linear equality constraints given as Ax = b.
class	LinearInequalityConstraint	Set of linear inequality constraints expressed as $Ax>B$.
class	SQPOption	Parameter for SQP Algorithm.

Methods in org.hipparchus.optim.nonlinear.vector.constrained with parameters of type OptimizationData

Modifier and Type	Method	Description
LagrangeSolution	AbstractSQPOptimizer.optimize(OptimizationData... optData)
LagrangeSolution	ADMMQPOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.
LagrangeSolution	ConstraintOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.
protected void	AbstractSQPOptimizer.parseOptimizationData(OptimizationData... optData)
protected void	ADMMQPOptimizer.parseOptimizationData(OptimizationData... optData)	Scans the list of (required and optional) optimization data that characterize the problem.

Uses of OptimizationData in org.hipparchus.optim.univariate

Classes in org.hipparchus.optim.univariate that implement OptimizationData

Modifier and Type	Class	Description
class	SearchInterval	Search interval and (optional) start value.
class	UnivariateObjectiveFunction	Scalar function to be optimized.

Methods in org.hipparchus.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.