Optimization problem class

This class encodes the corresponding optimization model. It is created using problem() function.

Value

No return value.

Fields

$data

list object containing data of the mathematical model.

$ConservationClass

object of class data-class() that contains the data input.

Methods

getData(character name)

vector(). Object stored in the data field with the corresponding name. The data correspond to the different parts of the mathematical model. The argument name can be made to the following: "obj", "rhs", "sense", "vtype", "A", "bounds" or "modelsense".

getDataList()

list() of vector(). Object stored in the data. It contains all information relative to the mathematical model, such as "obj", "rhs", etc.

print()

Print basic information of the optimization model.

show()

Call print method.

Examples

# 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

## Use class methods
head(problem_model$getData("obj"))
#> [1] 702.305 645.714 602.096 572.511 557.573 557.573

problem_model$print()
#> Optimization Problem
#>   model sense: minimization
#>   dimensions:  29984, 10296, 883.856 kB (nrow, ncol, size)
#>   variables:   10296