Get the problem data used in the call to the solver.
get_problem_data(object, solver, gp)
A Problem object.
A string indicating the solver that the problem data is for. Call installed_solvers()
to see all available.
(Optional) A logical value indicating whether the problem is a geometric program.
A list containing the data for the solver, the solving chain for the problem, and the inverse data needed to invert the solution.
a <- Variable(name = "a")
data <- get_problem_data(Problem(Minimize(exp(a) + 2)), "SCS")[[1]]
data[["dims"]]
#> An object of class "ConeDims"
#> Slot "constr_map":
#> list()
#>
#> Slot "zero":
#> [1] 0
#>
#> Slot "nonpos":
#> [1] 0
#>
#> Slot "exp":
#> [1] 1
#>
#> Slot "soc":
#> list()
#>
#> Slot "psd":
#> list()
#>
data[["c"]]
#> [1] 1 0
data[["A"]]
#> 3 x 2 sparse Matrix of class "dgCMatrix"
#>
#> [1,] . -1
#> [2,] . .
#> [3,] -1 .
x <- Variable(2, name = "x")
data <- get_problem_data(Problem(Minimize(p_norm(x) + 3)), "ECOS")[[1]]
data[["dims"]]
#> An object of class "ConeDims"
#> Slot "constr_map":
#> list()
#>
#> Slot "zero":
#> [1] 0
#>
#> Slot "nonpos":
#> [1] 0
#>
#> Slot "exp":
#> [1] 0
#>
#> Slot "soc":
#> [[1]]
#> [1] 3
#>
#>
#> Slot "psd":
#> list()
#>
data[["c"]]
#> [1] 1 0 0
data[["A"]]
#> 0 x 0 diagonal matrix of class "ddiMatrix"
#> <0 x 0 matrix>
data[["G"]]
#> 3 x 3 sparse Matrix of class "dgCMatrix"
#>
#> [1,] -1 . .
#> [2,] . -1 .
#> [3,] . . -1