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Dakota Reference Manual
Version 6.2
Large-Scale Engineering Optimization and Uncertainty Analysis
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Dakota Reference Manual
Version 6.2
Large-Scale Engineering Optimization and Uncertainty Analysis
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Select methods from the Stanford package
Alias: none
Argument(s): none
| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
|---|---|---|---|---|
| Required (Choose One) | Group 1 | npsol | Duplicate of method-npsol_sqp | |
| nlssol | Duplicate of method-nlssol_sqp | |||
| Optional | verify_level | Verify the quality of analytic gradients | ||
| Optional | function_precision | Specify the maximum precision of the analysis code responses | ||
| Optional | linesearch_tolerance | Choose how accurately the algorithm will compute the minimum in a line search | ||
| Optional | linear_inequality_constraint_matrix | Define coefficients of the linear inequality constraints | ||
| Optional | linear_inequality_lower_bounds | Define lower bounds for the linear inequality constraint | ||
| Optional | linear_inequality_upper_bounds | Define upper bounds for the linear inequality constraint | ||
| Optional | linear_inequality_scale_types | Specify how each linear inequality constraint is scaled | ||
| Optional | linear_inequality_scales | Define the characteristic values to scale linear inequalities | ||
| Optional | linear_equality_constraint_matrix | Define coefficients of the linear equalities | ||
| Optional | linear_equality_targets | Define target values for the linear equality constraints | ||
| Optional | linear_equality_scale_types | Specify how each linear equality constraint is scaled | ||
| Optional | linear_equality_scales | Define the characteristic values to scale linear equalities | ||
| Optional | model_pointer | Identifier for model block to be used by a method | ||
This is a duplicate. See the method pages here:
1.8.4 
