Uses of Class
org.hipparchus.optim.BaseMultivariateOptimizer

Packages that use BaseMultivariateOptimizer

Package	Description
org.hipparchus.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
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.
org.hipparchus.optim.nonlinear.vector.constrained	This package provides algorithms that minimize the residuals between observations and model values.

Uses of BaseMultivariateOptimizer in org.hipparchus.optim

Subclasses of BaseMultivariateOptimizer in org.hipparchus.optim

Modifier and Type	Class	Description
class	BaseMultiStartMultivariateOptimizer<P>	Base class multi-start optimizer for a multivariate function.

Constructors in org.hipparchus.optim with parameters of type BaseMultivariateOptimizer

Constructor	Description
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<P> optimizer, int starts, RandomVectorGenerator generator)	Create a multi-start optimizer from a single-start optimizer.

Uses of BaseMultivariateOptimizer in org.hipparchus.optim.linear

Subclasses of BaseMultivariateOptimizer 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 BaseMultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar

Subclasses of BaseMultivariateOptimizer in org.hipparchus.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 BaseMultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar.gradient

Subclasses of BaseMultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar.gradient

Modifier and Type	Class	Description
class	NonLinearConjugateGradientOptimizer	Non-linear conjugate gradient optimizer.

Uses of BaseMultivariateOptimizer in org.hipparchus.optim.nonlinear.scalar.noderiv

Subclasses of BaseMultivariateOptimizer 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.

Uses of BaseMultivariateOptimizer in org.hipparchus.optim.nonlinear.vector.constrained

Subclasses of BaseMultivariateOptimizer in org.hipparchus.optim.nonlinear.vector.constrained

Modifier and Type	Class	Description
class	AbstractSQPOptimizer	Abstract class for Sequential Quadratic Programming solvers
class	ADMMQPOptimizer	Alternating Direction Method of Multipliers Quadratic Programming Optimizer. \[ min \frac{1}{2} X^T Q X + G X a\\ A X = B_1\\ B X \ge B_2\\ l_b \le C X \le u_b \] Algorithm based on paper:"An Operator Splitting Solver for Quadratic Programs(Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen Boyd,February 13 2020)"
class	ConstraintOptimizer	Abstract Constraint Optimizer.
class	QPOptimizer	Quadratic programming Optimizater.
class	SQPOptimizerGM	Sequential Quadratic Programming Optimizer.
class	SQPOptimizerS	Sequential Quadratic Programming Optimizer.