Uses of Class
org.apache.commons.math4.legacy.optim.BaseOptimizer
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Packages that use BaseOptimizer Package Description org.apache.commons.math4.legacy.optim Generally, optimizers are algorithms that will eitherminimize
ormaximize
a 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 BaseOptimizer in org.apache.commons.math4.legacy.optim
Subclasses of BaseOptimizer in org.apache.commons.math4.legacy.optim Modifier and Type Class Description class
BaseMultiStartMultivariateOptimizer<PAIR>
Base class multi-start optimizer for a multivariate function.class
BaseMultivariateOptimizer<PAIR>
Base class for implementing optimizers for multivariate functions. -
Uses of BaseOptimizer in org.apache.commons.math4.legacy.optim.linear
Subclasses of BaseOptimizer in org.apache.commons.math4.legacy.optim.linear Modifier and Type Class Description class
LinearOptimizer
Base class for implementing linear optimizers.class
SimplexSolver
Solves a linear problem using the "Two-Phase Simplex" method. -
Uses of BaseOptimizer in org.apache.commons.math4.legacy.optim.nonlinear.scalar
Subclasses of BaseOptimizer in org.apache.commons.math4.legacy.optim.nonlinear.scalar Modifier and Type Class Description class
GradientMultivariateOptimizer
Base class for implementing optimizers for multivariate scalar differentiable functions.class
MultiStartMultivariateOptimizer
Multi-start optimizer.class
MultivariateOptimizer
Base class for a multivariate scalar function optimizer. -
Uses of BaseOptimizer in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient
Subclasses of BaseOptimizer in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient Modifier and Type Class Description class
NonLinearConjugateGradientOptimizer
Non-linear conjugate gradient optimizer. -
Uses of BaseOptimizer in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv
Subclasses of BaseOptimizer in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv Modifier and Type Class Description class
BOBYQAOptimizer
Powell's BOBYQA algorithm.class
CMAESOptimizer
An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.class
PowellOptimizer
Powell's algorithm.class
SimplexOptimizer
This class implements simplex-based direct search optimization. -
Uses of BaseOptimizer in org.apache.commons.math4.legacy.optim.univariate
Subclasses of BaseOptimizer in org.apache.commons.math4.legacy.optim.univariate Modifier and Type Class Description class
BrentOptimizer
For a function defined on some interval(lo, hi)
, this class finds an approximationx
to the point at which the function attains its minimum.class
MultiStartUnivariateOptimizer
Special implementation of theUnivariateOptimizer
interface adding multi-start features to an existing optimizer.class
UnivariateOptimizer
Base class for a univariate scalar function optimizer.
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