SCS-class: An interface for the SCS solver

In CVXR: Disciplined Convex Optimization

An interface for the SCS solver

Description

An interface for the SCS solver

Usage

SCS()

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

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

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

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

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

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

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

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

Arguments

solver, object, x	A SCS 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(SCS): Can the solver handle mixed-integer programs?

• status_map(SCS): Converts status returned by SCS solver to its respective CVXPY status.

• name(SCS): Returns the name of the solver

• import_solver(SCS): Imports the solver

• reduction_format_constr(SCS): Return a linear operator to multiply by PSD constraint coefficients.

• perform(object = SCS, problem = Problem): Returns a new problem and data for inverting the new solution

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

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

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