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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Multiplier for the penalty function
Alias: none
Argument(s): REAL
Default: 1000.0
Most SCOLIB optimizers treat constraints with a simple penalty scheme that adds constraint_penalty
times the sum of squares of the constraint violations to the objective function. The default value of constraint_penalty
is 1000.0, except for methods that dynamically adapt their constraint penalty, for which the default value is 1.0.