An interface for the GUROBI conic solver.

```
GUROBI_CONIC()
# S4 method for GUROBI_CONIC
mip_capable(solver)
# S4 method for GUROBI_CONIC
name(x)
# S4 method for GUROBI_CONIC
import_solver(solver)
# S4 method for GUROBI_CONIC
status_map(solver, status)
# S4 method for GUROBI_CONIC,Problem
accepts(object, problem)
# S4 method for GUROBI_CONIC,Problem
perform(object, problem)
# S4 method for GUROBI_CONIC,list,list
invert(object, solution, inverse_data)
# S4 method for GUROBI_CONIC
solve_via_data(
object,
data,
warm_start,
verbose,
feastol,
reltol,
abstol,
num_iter,
solver_opts,
solver_cache
)
```

- solver, object, x
A GUROBI_CONIC object.

- status
A status code returned by the solver.

- problem
A Problem object.

- solution
The raw solution returned by the solver.

- inverse_data
A list containing data necessary for the inversion.

- data
Data generated via an apply call.

- warm_start
A boolean of whether to warm start the solver.

- verbose
A boolean of whether to enable solver verbosity.

- feastol
The feasible tolerance.

- reltol
The relative tolerance.

- abstol
The absolute tolerance.

- num_iter
The maximum number of iterations.

- solver_opts
A list of Solver specific options

- solver_cache
Cache for the solver.

`mip_capable(GUROBI_CONIC)`

: Can the solver handle mixed-integer programs?`name(GUROBI_CONIC)`

: Returns the name of the solver.`import_solver(GUROBI_CONIC)`

: Imports the solver.`status_map(GUROBI_CONIC)`

: Converts status returned by the GUROBI solver to its respective CVXPY status.`accepts(object = GUROBI_CONIC, problem = Problem)`

: Can GUROBI_CONIC solve the problem?`perform(object = GUROBI_CONIC, problem = Problem)`

: Returns a new problem and data for inverting the new solution.`invert(object = GUROBI_CONIC, solution = list, inverse_data = list)`

: Returns the solution to the original problem given the inverse_data.`solve_via_data(GUROBI_CONIC)`

: Solve a problem represented by data returned from apply.