Add a variable to the model — add_variable • ompr

A variable can either be a name or an indexed name. See examples.

add_variable(.model, .variable, ..., type = "continuous", lb = -Inf,
  ub = Inf)

add_variable_(.model, .variable, ..., type = "continuous", lb = -Inf,
  ub = Inf, .dots)

Arguments

.model: the model
.variable: the variable name/definition
...: quantifiers for the indexed variable. Including filters
type: must be either continuous, integer or binary
lb: the lower bound of the variable
ub: the upper bound of the variable
.dots: Used to work around non-standard evaluation.

Examples

library(magrittr)
MIPModel() %>%
 add_variable(x) %>% # creates 1 variable named x
 add_variable(y[i], i = 1:10, i %% 2 == 0,
               type = "binary") # creates 4 variables
#> Mixed linear integer optimization problem
#> Variables:
#>   Continuous: 1 
#>   Integer: 0 
#>   Binary: 5 
#> No objective function. 
#> Constraints: 0