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tbpsg_vars

Contents

tbpsg_vars function displays description of all MATLAB objects (variables from Workspace) used in optimization problem.

Syntax

[output_table,output_str] = tbpsg_vars(problem_statement, toolboxstruc_arr)

Description

[output_table,output_str] = tbpsg_vars(problem_statement, toolboxstruc_arr) returns list of all MATLAB objects (variables from Workspace) used for creation of optimization problem specified by problem statement problem_statement and data stored in structure toolboxstruc_arr. List is formatted as the table output_table and the structure output_str.

Input Arguments

problem_statement	string with description of optimization problem (see Problem Statement);
toolboxstruc_arr	array of PSG data structures (see PSG Data Objects).

Output Arguments

output_table	table with columns MATLAB Object, PSG Type, PSG Object, PSG Location, Class;
output_str	array of structures with fields matlab_object, psg_var, psg_object, class, psg_path.

Example

CVaR problem is defined in section Quick Start with PSG Toolbox.

Open PSG Toolbox:

>> tbpsg_toolbox

Load in PSG Toolbox problem from file .\Aorda\PSG\MATLAB\Examples\Toolbox\problem_cvar.mat

Open in PSG Toolbox menu "Save to Workspace" and save problem statement and toolbox structure to Workspace variables problem_statement and toolboxstruc_arr.

Command to view all MATLAB objects used in optimization problem:

>> tbpsg_vars(problem_statement, toolboxstruc_arr)

Output:

MATLAB Object	PSG Type	PSG Object	PSG Location	Class
matrix_scenarios_benchmark	bench	matrix_scenarios	cvar_risk_example(0.95, matrix_scenarios)	double
matrix_scenarios_data	bench	matrix_scenarios	cvar_risk_example(0.95, matrix_scenarios)	double
matrix_scenarios_vars	vars	matrix_scenarios	cvar_risk_example(0.95, matrix_scenarios)	cell
matrix_budget_data	data	matrix_budget	linear(matrix_budget)	double
matrix_budget_vars	vars	matrix_budget	linear(matrix_budget)	cell
point_lowerbounds_data	data	point_lowerbounds	Box: >= point_lowerbounds	double
point_lowerbounds_vars	vars	point_lowerbounds	Box: >= point_lowerbounds	cell
point_problem_1_data	data	point_problem_1		double
point_problem_1_vars	vars	point_problem_1		cell