CLARABEL-class function

class

An interface for the CLARABEL solver

CLARABEL()

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

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

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

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

## S4 method for signature 'CLARABEL'
reduction_format_constr(object, problem, constr, exp_cone_order)

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

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

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

Arguments

• solver, object, x: A CLARABEL object.
• status: A status code returned by the solver.
• problem: A Problem object.
• constr: A Constraint to format.
• exp_cone_order: A list indicating how the exponential cone arguments are ordered.
• 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(CLARABEL): Can the solver handle mixed-integer programs?
• status_map(CLARABEL): Converts status returned by CLARABEL solver to its respective CVXPY status.
• name(CLARABEL): Returns the name of the solver
• import_solver(CLARABEL): Imports the solver
• reduction_format_constr(CLARABEL): Return a linear operator to multiply by PSD constraint coefficients.
• perform(object = CLARABEL, problem = Problem): Returns a new problem and data for inverting the new solution
• invert(object = CLARABEL, solution = list, inverse_data = list): Returns the solution to the original problem given the inverse_data.
• solve_via_data(CLARABEL): Solve a problem represented by data returned from apply.