add_orthogonality_cuts(working_model, ...)
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Add orthogonality cuts. |
add_var_bound(model, config)
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This function will add bounds for variables in nonlinear constraints if they are not bounded. |
calc_jacobians(constraint_list, ...)
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Generates a map of jacobians for the variables in the model. |
copy_var_list_values(from_list, to_list, config)
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Copy variable values from one list to another. |
copy_var_list_values_from_solution_pool(...)
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Copy variable values from the solution pool to another list. |
epigraph_reformulation(exp, slack_var_list, ...)
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Epigraph reformulation. |
fp_converged(working_model, mip_model, ...)
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Calculates the euclidean norm between the discrete variables in the MIP and NLP models. |
generate_lag_objective_function(model, ...)
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The function generates the second-order Taylor approximation of the Lagrangean. |
generate_norm1_norm_constraint(model, ...[, ...])
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This function generates constraint (PF-OA main problem) for minimum Norm1 distance to setpoint_model. |
generate_norm1_objective_function(model, ...)
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This function generates objective (PF-OA main problem) for minimum Norm1 distance to setpoint_model. |
generate_norm2sq_objective_function(model, ...)
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This function generates objective (FP-NLP subproblem) for minimum euclidean distance to setpoint_model. |
generate_norm_constraint(fp_nlp_model, ...)
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Generate the norm constraint for the FP-NLP subproblem. |
generate_norm_inf_objective_function(model, ...)
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This function generates objective (PF-OA main problem) for minimum Norm Infinity distance to setpoint_model. |
get_integer_solution(model[, string_zero])
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Extract the value of integer variables from the provided model. |
initialize_feas_subproblem(m, feasibility_norm)
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Adds feasibility slack variables according to config.feasibility_norm (given an infeasible problem). |
set_solver_constraint_violation_tolerance(...)
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Set constraint violation tolerance for solvers. |
set_solver_mipgap(opt, solver_name, config)
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Set mipgap for subsolvers. |
set_var_valid_value(var, var_val, ...)
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This function tries to set a valid value for variable with the given input. |
setup_results_object(results, model, config)
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Record problem statistics for original model. |
update_solver_timelimit(opt, solver_name, ...)
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Updates the time limit for subsolvers. |