Uses of Interface
org.apache.commons.math3.optim.OptimizationData
Packages that use OptimizationData
Package
Description
Generally, optimizers are algorithms that will either
minimize
or
maximize
a scalar function, called the
objective
function
.Optimization algorithms for linear constrained problems.
Algorithms for optimizing a scalar function.
This package provides optimization algorithms that require derivatives.
This package provides optimization algorithms that do not require derivatives.
Algorithms for optimizing a vector function.
This package provides optimization algorithms that require derivatives.
One-dimensional optimization algorithms.
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Uses of OptimizationData in org.apache.commons.math3.optim
Classes in org.apache.commons.math3.optim that implement OptimizationDataModifier and TypeClassDescriptionclass
Starting point (first guess) of the optimization procedure.class
Maximum number of evaluations of the function to be optimized.class
Maximum number of iterations performed by an (iterative) algorithm.class
Simple optimization constraints: lower and upper bounds.Methods in org.apache.commons.math3.optim with parameters of type OptimizationDataModifier and TypeMethodDescriptionBaseMultiStartMultivariateOptimizer.optimize
(OptimizationData... optData) Stores data and performs the optimization.BaseMultivariateOptimizer.optimize
(OptimizationData... optData) Stores data and performs the optimization.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.math3.optim.linear
Classes in org.apache.commons.math3.optim.linear that implement OptimizationDataModifier and TypeClassDescriptionclass
Class that represents a set oflinear constraints
.class
An objective function for a linear optimization problem.class
A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.enum
Pivot selection rule to the use for a Simplex solver.class
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 OptimizationDataModifier and TypeMethodDescriptionLinearOptimizer.optimize
(OptimizationData... optData) Stores data and performs the optimization.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.math3.optim.nonlinear.scalar
Classes in org.apache.commons.math3.optim.nonlinear.scalar that implement OptimizationDataModifier and TypeClassDescriptionenum
Goal type for an optimization problem (minimization or maximization of a scalar function.class
Scalar function to be optimized.class
Gradient of the scalar function to be optimized.Methods in org.apache.commons.math3.optim.nonlinear.scalar with parameters of type OptimizationDataModifier and TypeMethodDescriptionGradientMultivariateOptimizer.optimize
(OptimizationData... optData) Stores data and performs the optimization.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.math3.optim.nonlinear.scalar.gradient
Classes in org.apache.commons.math3.optim.nonlinear.scalar.gradient that implement OptimizationDataModifier and TypeClassDescriptionstatic class
Deprecated.As of v3.3, this class is not used anymore.Methods in org.apache.commons.math3.optim.nonlinear.scalar.gradient with parameters of type OptimizationDataModifier and TypeMethodDescriptionNonLinearConjugateGradientOptimizer.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 OptimizationDataModifier and TypeClassDescriptionclass
This class implements the simplex concept.static class
Population size.static class
Input sigma values.class
This class implements the multi-directional direct search method.class
This class implements the Nelder-Mead simplex algorithm.Methods in org.apache.commons.math3.optim.nonlinear.scalar.noderiv with parameters of type OptimizationDataModifier and TypeMethodDescriptionCMAESOptimizer.optimize
(OptimizationData... optData) Stores data and performs the optimization.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.apache.commons.math3.optim.nonlinear.vector
Classes in org.apache.commons.math3.optim.nonlinear.vector that implement OptimizationDataModifier and TypeClassDescriptionclass
Deprecated.All classes and interfaces in this package are deprecated.class
Deprecated.All classes and interfaces in this package are deprecated.class
Deprecated.All classes and interfaces in this package are deprecated.class
Deprecated.All classes and interfaces in this package are deprecated.Methods in org.apache.commons.math3.optim.nonlinear.vector with parameters of type OptimizationDataModifier and TypeMethodDescriptionJacobianMultivariateVectorOptimizer.optimize
(OptimizationData... optData) Deprecated.Stores data and performs the optimization.MultivariateVectorOptimizer.optimize
(OptimizationData... optData) Deprecated.Stores data and performs the optimization.protected void
JacobianMultivariateVectorOptimizer.parseOptimizationData
(OptimizationData... optData) Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.protected void
MultivariateVectorOptimizer.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 OptimizationDataModifier and TypeMethodDescriptionAbstractLeastSquaresOptimizer.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 OptimizationDataModifier and TypeClassDescriptionclass
Search interval and (optional) start value.class
Scalar function to be optimized.Methods in org.apache.commons.math3.optim.univariate with parameters of type OptimizationDataModifier and TypeMethodDescriptionMultiStartUnivariateOptimizer.optimize
(OptimizationData... optData) Stores data and performs the optimization.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.