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