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void | copy_con_vals_dak_to_optpp (const RealVector &local_fn_vals, RealVector &g, size_t offset) |
| convenience function for copying local_fn_vals to g; used by constraint evaluator functions
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void | copy_con_vals_optpp_to_dak (const RealVector &g, RealVector &local_fn_vals, size_t offset) |
| convenience function for copying g to local_fn_vals; used in final solution logging
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void | copy_con_grad (const RealMatrix &local_fn_grads, RealMatrix &grad_g, size_t offset) |
| convenience function for copying local_fn_grads to grad_g; used by constraint evaluator functions
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void | copy_con_hess (const RealSymMatrixArray &local_fn_hessians, OPTPP::OptppArray< RealSymMatrix > &hess_g, size_t offset) |
| convenience function for copying local_fn_hessians to hess_g; used by constraint evaluator functions
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void | snll_pre_instantiate (bool bound_constr_flag, int num_constr) |
| convenience function for setting OPT++ options prior to the method instantiation
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void | snll_post_instantiate (int num_cv, bool vendor_num_grad_flag, const String &finite_diff_type, const RealVector &fdss, size_t max_iter, size_t max_eval, Real conv_tol, Real grad_tol, Real max_step, bool bound_constr_flag, int num_constr, short output_lev, OPTPP::OptimizeClass *the_optimizer, OPTPP::NLP0 *nlf_objective, OPTPP::FDNLF1 *fd_nlf1, OPTPP::FDNLF1 *fd_nlf1_con) |
| convenience function for setting OPT++ options after the method instantiation
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void | snll_initialize_run (OPTPP::NLP0 *nlf_objective, OPTPP::NLP *nlp_constraint, const RealVector &init_pt, bool bound_constr_flag, const RealVector &lower_bnds, const RealVector &upper_bnds, const RealMatrix &lin_ineq_coeffs, const RealVector &lin_ineq_l_bnds, const RealVector &lin_ineq_u_bnds, const RealMatrix &lin_eq_coeffs, const RealVector &lin_eq_targets, const RealVector &nln_ineq_l_bnds, const RealVector &nln_ineq_u_bnds, const RealVector &nln_eq_targets) |
| convenience function for OPT++ configuration prior to the method invocation
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void | snll_post_run (OPTPP::NLP0 *nlf_objective) |
| convenience function for managing OPT++ results after method execution
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void | snll_finalize_run (OPTPP::NLP0 *nlf_objective) |
| convenience function for clearing OPT++ data after method execution
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void | reset_base () |
| reset last{FnEvalLocn,EvalMode,EvalVars}
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String | searchMethod |
| value_based_line_search, gradient_based_line_search, trust_region, or tr_pds
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OPTPP::SearchStrategy | searchStrat |
| enum: LineSearch, TrustRegion, or TrustPDS
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OPTPP::MeritFcn | meritFn |
| enum: NormFmu, ArgaezTapia, or VanShanno
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Real | gradientTol |
| value from gradient_tolerance specification
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Real | maxStep |
| value from max_step specification
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Real | stepLenToBndry |
| value from steplength_to_boundary specification
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Real | centeringParam |
| value from centering_parameter specification
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bool | constantASVFlag |
| flags a user selection of active_set_vector == constant. By mapping this into mode override, reliance on duplicate detection can be avoided.
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Base class for OPT++ optimization and least squares methods.
The SNLLBase class provides a common base class for SNLLOptimizer and SNLLLeastSq, both of which are wrappers for OPT++, a C++ optimization library from the Computational Sciences and Mathematics Research (CSMR) department at Sandia's Livermore CA site.