%This Example for using users m-function Optimization_subroutine.m was created automatically by PSG Toolbox.

%Function description:

%maximize
%logexp_sum(spline_sum(matrix_parameters_5_pieces, matrix_DTI_spl))
%Solver: precision = parameter_precision
%
%calculate
%Point: point_problem_1
%logistic(spline_sum(matrix_parameters_5_pieces, matrix_DTI_spl))
%
%Input variables:
%
%Inputs                             PSG Type    PSG Object                    Location in Problem Statement                                         Class
%matrix_dti_spl_benchmark           bench       matrix_dti_spl                n/a                                                                   double
%matrix_dti_spl_data                data        matrix_dti_spl                n/a                                                                   double
%matrix_dti_spl_vars                vars        matrix_dti_spl                n/a                                                                   cell
%matrix_parameters_5_pieces_data    data        matrix_parameters_5_pieces    logexp_sum(spline_sum(matrix_parameters_5_pieces, matrix_DTI_spl))    double
%                                                                             logistic(spline_sum(matrix_parameters_5_pieces, matrix_DTI_spl))
%matrix_parameters_5_pieces_vars    vars        matrix_parameters_5_pieces    logexp_sum(spline_sum(matrix_parameters_5_pieces, matrix_DTI_spl))    cell
%                                                                             logistic(spline_sum(matrix_parameters_5_pieces, matrix_DTI_spl))
%parameter_precision_data           data        parameter_precision           Solver: precision = parameter_precision                               char
%
%Output variables:
%
%solution_str = string with solution of problem;
%outargstruc_arr = array of output PSG data structures;


%Load data from mat-file:
load('D:\American Optimal Decisions\PSG\MATLAB_Stan\All\Classification in Loan Application Process\data_problem_1_DTI_2012\Optimization_subroutine_data.mat')

%Save variables from mat-file to Workspace:
tbpsg_export_to_workspace(toolboxstruc_arr)

%Run users m-function Optimization_subroutine:

[solution_str,outargstruc_arr] = Optimization_subroutine(matrix_dti_spl_benchmark,matrix_dti_spl_data,matrix_dti_spl_vars,matrix_parameters_5_pieces_data,matrix_parameters_5_pieces_vars,parameter_precision_data);

%Extract Objective:
val_obj = tbpsg_objective(solution_str, outargstruc_arr);

disp(' ');
disp('Objective = ');
disp(val_obj);

%Extract optimal solution:
point_data = tbpsg_optimal_point_data(solution_str, outargstruc_arr);

disp(' ');
disp('Optimal point = ');
disp(point_data);

%Extract structure containing PSG solution reports:
output_structure = tbpsg_solution_struct(solution_str, outargstruc_arr);

disp(' ');
disp('Structure with PSG solution = ');
disp(output_structure);

%Uncomment the following lines to extract solutions details:

%output = tbpsg_isoptimal(solution_str, outargstruc_arr);

%output = tbpsg_function_data(solution_str, outargstruc_arr);

%output = tbpsg_function_names(solution_str, outargstruc_arr);

%output = tbpsg_time(solution_str, outargstruc_arr);

%output = tbpsg_optimal_point_vars(solution_str, outargstruc_arr);

%output = tbpsg_constraints_vars(solution_str, outargstruc_arr);

%output = tbpsg_slack_data(solution_str, outargstruc_arr);

%output = tbpsg_dual_data(solution_str, outargstruc_arr);

%output = tbpsg_vector_constraint_data(solution_str, outargstruc_arr);

%output = tbpsg_vector_dual_data(solution_str, outargstruc_arr);

%output = tbpsg_vector_slack_data(solution_str, outargstruc_arr);

%output = tbpsg_matrix_data(solution_str, outargstruc_arr);

%output = tbpsg_matrix_vars(solution_str, outargstruc_arr);

%output = tbpsg_vector_data(solution_str, outargstruc_arr);