CPLEX_CONIC-class: An interface for the CPLEX solver
In anqif/CVXR: Disciplined Convex Optimization

CPLEX_CONIC-class

R Documentation

An interface for the CPLEX solver

Description

An interface for the CPLEX solver

Usage

CPLEX_CONIC()

CPLEX_CONIC()

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

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

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

## S4 method for signature 'CPLEX_CONIC,Problem'
accepts(object, problem)

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

## S4 method for signature 'CPLEX_CONIC,Problem'
perform(object, problem)

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

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

Arguments

`solver, object, x`	A CPLEX_CONIC object.
`problem`	A Problem object.
`status`	A status code returned by the solver.
`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 on the primal and dual residual.
`reltol`	The relative tolerance on the duality gap.
`abstol`	The absolute tolerance on the duality gap.
`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(CPLEX_CONIC): Can the solver handle mixed-integer programs?
name(CPLEX_CONIC): Returns the name of the solver.
import_solver(CPLEX_CONIC): Imports the solver.
accepts(object = CPLEX_CONIC, problem = Problem): Can CPLEX solve the problem?
status_map(CPLEX_CONIC): Converts status returned by the CPLEX solver to its respective CVXPY status.
perform(object = CPLEX_CONIC, problem = Problem): Returns a new problem and data for inverting the new solution.
invert(object = CPLEX_CONIC, solution = list, inverse_data = list): Returns the solution to the original problem given the inverse_data.
solve_via_data(CPLEX_CONIC): Solve a problem represented by data returned from apply.