GUROBI_QP-class: An interface for the GUROBI_QP solver.

In CVXR: Disciplined Convex Optimization

An interface for the GUROBI_QP solver.

Description

An interface for the GUROBI_QP solver.

Usage

GUROBI_QP()

## S4 method for signature 'GUROBI_QP'
mip_capable(solver)

## S4 method for signature 'GUROBI_QP'
status_map(solver, status)

## S4 method for signature 'GUROBI_QP'
name(x)

## S4 method for signature 'GUROBI_QP'
import_solver(solver)

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

## S4 method for signature 'GUROBI_QP,list,InverseData'
invert(object, solution, inverse_data)

Arguments

solver, object, x	A GUROBI_QP object.
status	A status code returned by the solver.
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.
solution	The raw solution returned by the solver.
inverse_data	A InverseData object containing data necessary for the inversion.

Methods (by generic)

• mip_capable(GUROBI_QP): Can the solver handle mixed-integer programs?

• status_map(GUROBI_QP): Converts status returned by the GUROBI solver to its respective CVXPY status.

• name(GUROBI_QP): Returns the name of the solver.

• import_solver(GUROBI_QP): Imports the solver.

• solve_via_data(GUROBI_QP): Solve a problem represented by data returned from apply.

• invert(object = GUROBI_QP, solution = list, inverse_data = InverseData): Returns the solution to the original problem given the inverse_data.

CVXR documentation built on June 27, 2024, 5:11 p.m.