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