|
Class Summary |
| AbsoluteError |
This penalty function sums up the absolute error penalties. |
| Courant |
This penalty function sums up the squared error penalties. |
| Fletcher |
This penalty function sums up the squared costs penalties. |
| MultiplierPenalty |
A multiplier penalty function allows different weights be assigned to the constraints. |
| PenaltyFunction |
A function P: Rn -> R is a penalty function for a constrained optimization problem if it has these properties. |
| PenaltyMethod |
The penalty method is an algorithm for solving the constrained minimization problem for general constraints. |
| SumOfPenalties |
This penalty function sums up the costs from a set of constituent penalty functions. |
| ZERO |
This class represents a dummy zero cost (no cost) penalty function. |