Uses of Interface
fr.cnes.sirius.patrius.math.optim.OptimizationData

Packages that use OptimizationData

Package	Description
fr.cnes.sirius.patrius.math.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
fr.cnes.sirius.patrius.math.optim.linear
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.gradient
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv
fr.cnes.sirius.patrius.math.optim.nonlinear.vector
fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian
fr.cnes.sirius.patrius.math.optim.univariate

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim

Classes in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.optim with parameters of type OptimizationData

Modifier and Type	Method and Description
T	BaseMultiStartMultivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
T	BaseMultivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
T	BaseOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim.linear

Classes in fr.cnes.sirius.patrius.math.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.

Methods in fr.cnes.sirius.patrius.math.optim.linear with parameters of type OptimizationData

Modifier and Type	Method and Description
PointValuePair	LinearOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar

Classes in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.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.

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.gradient

Classes in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.gradient that implement OptimizationData

Modifier and Type	Class and Description
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 fr.cnes.sirius.patrius.math.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.

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv

Classes in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.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.

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim.nonlinear.vector

Classes in fr.cnes.sirius.patrius.math.optim.nonlinear.vector that implement OptimizationData

Modifier and Type	Class and Description
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 fr.cnes.sirius.patrius.math.optim.nonlinear.vector with parameters of type OptimizationData

Modifier and Type	Method and Description
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 fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian with parameters of type OptimizationData

Modifier and Type	Method and Description
PointVectorValuePair	AbstractLeastSquaresOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Uses of OptimizationData in fr.cnes.sirius.patrius.math.optim.univariate

Classes in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.optim.univariate with parameters of type OptimizationData

Modifier and Type	Method and Description
UnivariatePointValuePair	UnivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
UnivariatePointValuePair	MultiStartUnivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.