An interface for the GUROBI conic solver.

GUROBI_CONIC()

# S4 method for class 'GUROBI_CONIC'
mip_capable(solver)

# S4 method for class 'GUROBI_CONIC'
name(x)

# S4 method for class 'GUROBI_CONIC'
import_solver(solver)

# S4 method for class 'GUROBI_CONIC'
status_map(solver, status)

# S4 method for class 'GUROBI_CONIC,Problem'
accepts(object, problem)

# S4 method for class 'GUROBI_CONIC,Problem'
perform(object, problem)

# S4 method for class 'GUROBI_CONIC,list,list'
invert(object, solution, inverse_data)

# S4 method for class 'GUROBI_CONIC'
solve_via_data(
  object,
  data,
  warm_start,
  verbose,
  feastol,
  reltol,
  abstol,
  num_iter,
  solver_opts,
  solver_cache
)

Arguments

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.

Methods (by generic)

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.