CVXR (version 1.0)

CBC_CONIC-class: An interface to the CBC solver

Description

An interface to the CBC solver

Usage

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

Arguments

solver, object, x

A '>CBC_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: Can the solver handle mixed-integer programs?

• status_map: Converts status returned by the CBC solver to its respective CVXPY status.

• status_map_mip: Converts status returned by the CBC solver to its respective CVXPY status for mixed integer problems.

• status_map_lp: Converts status returned by the CBC solver to its respective CVXPY status for linear problems.

• name: Returns the name of the solver

• import_solver: Imports the solver

• accepts: Can CBC_CONIC solve the problem?

• perform: Returns a new problem and data for inverting the new solution.

• invert: Returns the solution to the original problem given the inverse_data.

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