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	BaseMultivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
PAIR	BaseMultiStartMultivariateOptimizer.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	CMAESOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
PointValuePair	SimplexOptimizer.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	MultivariateVectorOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
PointVectorValuePair	JacobianMultivariateVectorOptimizer.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.