Uses of Class
org.apache.commons.math3.optim.BaseOptimizer
Packages that use BaseOptimizer
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 BaseOptimizer in org.apache.commons.math3.optim
Subclasses of BaseOptimizer in org.apache.commons.math3.optimModifier and TypeClassDescriptionclassBase class multi-start optimizer for a multivariate function.classBase class for implementing optimizers for multivariate functions. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.linear
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.linearModifier and TypeClassDescriptionclassBase class for implementing linear optimizers.classSolves a linear problem using the "Two-Phase Simplex" method. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.scalar
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.scalarModifier and TypeClassDescriptionclassBase class for implementing optimizers for multivariate scalar differentiable functions.classMulti-start optimizer.classBase class for a multivariate scalar function optimizer. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.scalar.gradient
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.scalar.gradientModifier and TypeClassDescriptionclassNon-linear conjugate gradient optimizer. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.scalar.noderivModifier and TypeClassDescriptionclassPowell's BOBYQA algorithm.classAn implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.classPowell's algorithm.classThis class implements simplex-based direct search optimization. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.vector
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.vectorModifier and TypeClassDescriptionclassDeprecated.All classes and interfaces in this package are deprecated.classDeprecated.classDeprecated. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.vector.jacobian
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.nonlinear.vector.jacobianModifier and TypeClassDescriptionclassDeprecated.All classes and interfaces in this package are deprecated.classDeprecated.All classes and interfaces in this package are deprecated.classDeprecated.All classes and interfaces in this package are deprecated. -
Uses of BaseOptimizer in org.apache.commons.math3.optim.univariate
Subclasses of BaseOptimizer in org.apache.commons.math3.optim.univariateModifier and TypeClassDescriptionclassFor a function defined on some interval(lo, hi), this class finds an approximationxto the point at which the function attains its minimum.classSpecial implementation of theUnivariateOptimizerinterface adding multi-start features to an existing optimizer.classBase class for a univariate scalar function optimizer.