Create a mip object from validator()
object.
This is a utility class that translates a validor object into a mixed integer problem that
can be solved.
Most users should use locate_errors()
which will handle all translation and execution
automatically. This class is provided so users can implement or derive an alternative solution.
Methods
The MipRules
class contains the following methods:
$execute()
calls the mip solver to execute the rules.$to_lp()
: transforms the object into a lp_solve object$is_infeasible
Checks if the current system of mixed integer rules is feasible.$set_values
: set values and weights for variables (determines the objective function).
See also
Other Mixed Integer Problem:
inspect_mip()
Examples
rules <- validator(x > 1)
mr <- miprules(rules)
mr$to_lp()
#> Model name: errorlocate
#> x
#> Minimize 0
#> V1 -1 <= -1.001
#> Kind Std
#> Type Real
#> Upper Inf
#> Lower -Inf
mr$set_values(c(x=0), weights=c(x=1))
mr$execute()
#> $s
#> [1] 0
#>
#> $solution
#> [1] TRUE
#>
#> $values
#> x .delta_x
#> 1.001 1.000
#>
#> $lp
#> Model name: errorlocate
#> x .delta_x
#> Minimize 0 1.080750137568
#> x_ub 1 -1e+07 <= 0
#> Kind Std Std
#> Type Real Int
#> Upper Inf 1
#> Lower 1.001 0
#>
#> $adapt
#> x
#> TRUE
#>
#> $errors
#> x
#> TRUE
#>