Uses of Interface
org.apache.commons.math4.legacy.optim.OptimizationData
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Packages that use OptimizationData Package Description org.apache.commons.math4.legacy.optim Generally, optimizers are algorithms that will eitherminimizeormaximizea scalar function, called theobjective 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. -
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Uses of OptimizationData in org.apache.commons.math4.legacy.optim
Classes in org.apache.commons.math4.legacy.optim that implement OptimizationData Modifier and Type Class Description classInitialGuessStarting point (first guess) of the optimization procedure.classMaxEvalMaximum number of evaluations of the function to be optimized.classMaxIterMaximum number of iterations performed by an (iterative) algorithm.classSimpleBoundsSimple optimization constraints: lower and upper bounds.Methods in org.apache.commons.math4.legacy.optim with parameters of type OptimizationData Modifier and Type Method Description PAIRBaseMultiStartMultivariateOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.PAIRBaseMultivariateOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.PAIRBaseOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.protected voidBaseMultivariateOptimizer. parseOptimizationData(OptimizationData... optData)Scans the list of (required and optional) optimization data that characterize the problem.protected voidBaseOptimizer. 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 classLinearConstraintSetClass that represents a set oflinear constraints.classLinearObjectiveFunctionAn objective function for a linear optimization problem.classNonNegativeConstraintA constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.classPivotSelectionRulePivot selection rule to the use for a Simplex solver.classSolutionCallbackA 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 PointValuePairLinearOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.PointValuePairSimplexSolver. optimize(OptimizationData... optData)Stores data and performs the optimization.protected voidLinearOptimizer. parseOptimizationData(OptimizationData... optData)Scans the list of (required and optional) optimization data that characterize the problem.protected voidSimplexSolver. 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 classGoalTypeGoal type for an optimization problem (minimization or maximization of a scalar function.classObjectiveFunctionScalar function to be optimized.classObjectiveFunctionGradientGradient of the scalar function to be optimized.classPopulationSizePopulation size.classSigmaInput sigma values define the initial coordinate-wise extent for sampling the solution space around the initial guess.classSimulatedAnnealingSimulated annealing setup.Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar with parameters of type OptimizationData Modifier and Type Method Description PointValuePairGradientMultivariateOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.PointValuePairMultivariateOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.protected voidGradientMultivariateOptimizer. parseOptimizationData(OptimizationData... optData)Scans the list of (required and optional) optimization data that characterize the problem.protected voidMultivariateOptimizer. 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 PointValuePairNonLinearConjugateGradientOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.protected voidNonLinearConjugateGradientOptimizer. 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 interfaceSimplex.TransformFactoryGenerator of simplex transform.Classes in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv that implement OptimizationData Modifier and Type Class Description classHedarFukushimaTransformDSSA algorithm.classMultiDirectionalTransformMulti-directional search method.classNelderMeadTransformclassSimplexRepresents a simplex.Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv with parameters of type OptimizationData Modifier and Type Method Description PointValuePairCMAESOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.protected voidCMAESOptimizer. parseOptimizationData(OptimizationData... optData)Scans the list of (required and optional) optimization data that characterize the problem.protected voidSimplexOptimizer. 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 classSearchIntervalSearch interval and (optional) start value.classUnivariateObjectiveFunctionScalar function to be optimized.Methods in org.apache.commons.math4.legacy.optim.univariate with parameters of type OptimizationData Modifier and Type Method Description UnivariatePointValuePairMultiStartUnivariateOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.UnivariatePointValuePairUnivariateOptimizer. optimize(OptimizationData... optData)Stores data and performs the optimization.protected voidUnivariateOptimizer. parseOptimizationData(OptimizationData... optData)Scans the list of (required and optional) optimization data that characterize the problem.
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