Uses of Class
org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer
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Packages that use MultivariateOptimizer Package Description org.hipparchus.optim.linear Optimization algorithms for linear constrained problems.org.hipparchus.optim.nonlinear.scalar Algorithms for optimizing a scalar function.org.hipparchus.optim.nonlinear.scalar.gradient This package provides optimization algorithms that require derivatives.org.hipparchus.optim.nonlinear.scalar.noderiv This package provides optimization algorithms that do not require derivatives. -
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Uses of MultivariateOptimizer in org.hipparchus.optim.linear
Subclasses of MultivariateOptimizer in org.hipparchus.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 MultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar
Subclasses of MultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar Modifier and Type Class Description class
GradientMultivariateOptimizer
Base class for implementing optimizers for multivariate scalar differentiable functions.Constructors in org.hipparchus.optim.nonlinear.scalar with parameters of type MultivariateOptimizer Constructor Description LineSearch(MultivariateOptimizer optimizer, double relativeTolerance, double absoluteTolerance, double initialBracketingRange)
TheBrentOptimizer
default stopping criterion uses the tolerances to check the domain (point) values, not the function values.MultiStartMultivariateOptimizer(MultivariateOptimizer optimizer, int starts, RandomVectorGenerator generator)
Create a multi-start optimizer from a single-start optimizer. -
Uses of MultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar.gradient
Subclasses of MultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar.gradient Modifier and Type Class Description class
NonLinearConjugateGradientOptimizer
Non-linear conjugate gradient optimizer. -
Uses of MultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar.noderiv
Subclasses of MultivariateOptimizer in org.hipparchus.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.
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