Name | Description | Type | Package | Framework |
AbsoluteErrorPenalty | This penalty function sums up the absolute error penalties. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
CourantPenalty | This penalty function sums up the squared error penalties. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
FletcherPenalty | This penalty function sums up the squared costs penalties. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
MultiplierPenalty | A multiplier penalty function allows different weights to be assigned to the constraints. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
PenaltyFunction | A function P: Rn -> R is a penalty function for a constrained optimization problem if it has these properties. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
PenaltyMethodMinimizer | The penalty method is an algorithm for solving a constrained minimization problem with general It replaces a constrained optimization problem by a series of unconstrained problems | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
PenaltyMethodMinimizer .PenaltyFunctionFactory | For each constrained optimization problem, the solver creates a new penalty function for it. | Interface | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
SumOfPenalties | This penalty function sums up the costs from a set of constituent penalty functions. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |
ZeroPenalty | This is a dummy zero cost (no cost) penalty function. | Class | com.numericalmethod.suanshu.optimization.multivariate.constrained.general.penaltymethod | SuanShu |