Package org.apache.commons.math4.legacy.optim.nonlinear.scalar

Algorithms for optimizing a scalar function.

Interface Summary

Interface	Description
SimulatedAnnealing.CoolingSchedule	Specifies the cooling schedule.

Class Summary

Class	Description
GradientMultivariateOptimizer	Base class for implementing optimizers for multivariate scalar differentiable functions.
LeastSquaresConverter	This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
LineSearch	Class for finding the minimum of the objective function along a given direction.
MultiStartMultivariateOptimizer	Multi-start optimizer.
MultivariateFunctionMappingAdapter	Adapter for mapping bounded MultivariateFunction to unbounded ones.
MultivariateFunctionPenaltyAdapter	Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.
MultivariateOptimizer	Base class for a multivariate scalar function optimizer.
ObjectiveFunction	Scalar function to be optimized.
ObjectiveFunctionGradient	Gradient of the scalar function to be optimized.
PopulationSize	Population size.
Sigma	Input sigma values define the initial coordinate-wise extent for sampling the solution space around the initial guess.
SimulatedAnnealing	Simulated annealing setup.

Enum Summary

Enum	Description
GoalType	Goal type for an optimization problem (minimization or maximization of a scalar function.