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