Provides general information about the mathematical model.
getModelInfo(x)optimizationProblem, solution or portfolio object.
getModelInfo() function returns five specific fields:
solution_name: indicates the name of the solution, by default is sol.
model_sense: returns the optimization sense (i.e., it indicates whether the objective function is minimized or maximize).
n_constraints: returns the number of constraints in the corresponding mathematical optimization model.
n_variables: returns the number of variables in the corresponding mathematical optimization model.
size: returns the size of the constraints' coefficients matrix A number of constraints and number of variables).
# set seed for reproducibility
set.seed(14)
## Load data
data(sim_pu_data, sim_features_data, sim_dist_features_data,
sim_threats_data, sim_dist_threats_data, sim_sensitivity_data,
sim_boundary_data)
## Create data instance
problem_data <- inputData(
pu = sim_pu_data, features = sim_features_data, dist_features = sim_dist_features_data,
threats = sim_threats_data, dist_threats = sim_dist_threats_data,
sensitivity = sim_sensitivity_data, boundary = sim_boundary_data
)
## Create optimization model
problem_model <- problem(x = problem_data, blm = 1)
#> Warning: Some blm_actions argument were set to 0, so the boundary data has no effect for these cases
# get model information
getModelInfo(problem_model)
#> model_sense n_constraints n_variables size
#> 1 minimization 29984 10296 883.856 kB