ReductionSolver-class: The ReductionSolver class.

In CVXR: Disciplined Convex Optimization

The ReductionSolver class.

Description

The ReductionSolver class.

Usage

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

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

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

## S4 method for signature 'ReductionSolver'
is_installed(solver)

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

## S4 method for signature 'ReductionSolver,ANY'
reduction_solve(
  object,
  problem,
  warm_start,
  verbose,
  feastol,
  reltol,
  abstol,
  num_iter,
  solver_opts
)

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

Arguments

solver, object, x	A ReductionSolver object.
data	Data generated via an apply call.
warm_start	A boolean of whether to warm start the solver.
verbose	An integer number indicating level of 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.
problem	A Problem object.

Methods (by generic)

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

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

• import_solver(ReductionSolver): Imports the solver

• is_installed(ReductionSolver): Is the solver installed?

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

• reduction_solve(object = ReductionSolver, problem = ANY): Solve a problem represented by data returned from apply.

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

CVXR documentation built on Oct. 31, 2022, 1:07 a.m.