Uses of Class
org.hipparchus.optim.nonlinear.vector.constrained.LagrangeSolution

Packages that use LagrangeSolution

Package	Description
org.hipparchus.optim.nonlinear.vector.constrained	This package provides algorithms that minimize the residuals between observations and model values.

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

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

Modifier and Type	Class	Description
class	ADMMQPSolution	Internal Solution for ADMM QP Optimizer.

Methods in org.hipparchus.optim.nonlinear.vector.constrained that return LagrangeSolution

Modifier and Type	Method	Description
LagrangeSolution	ADMMQPOptimizer.doOptimize()	Performs the bulk of the optimization algorithm.
protected LagrangeSolution	QPOptimizer.doOptimize()
LagrangeSolution	SQPOptimizerGM.doOptimize()	Performs the bulk of the optimization algorithm.
LagrangeSolution	SQPOptimizerS.doOptimize()	Performs the bulk of the optimization algorithm.
LagrangeSolution	AbstractSQPOptimizer.optimize(OptimizationData... optData)
LagrangeSolution	ADMMQPOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.
LagrangeSolution	ConstraintOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.

Methods in org.hipparchus.optim.nonlinear.vector.constrained that return types with arguments of type LagrangeSolution

Modifier and Type	Method	Description
ConvergenceChecker<LagrangeSolution>	ADMMQPOptimizer.getConvergenceChecker()	Gets the convergence checker.

Methods in org.hipparchus.optim.nonlinear.vector.constrained with parameters of type LagrangeSolution

Modifier and Type	Method	Description
boolean	ADMMQPConvergenceChecker.converged(int i, LagrangeSolution previous, LagrangeSolution current)	Check if the optimization algorithm has converged.