ConstantSolver-class: The ConstantSolver class.
In anqif/CVXR: Disciplined Convex Optimization

ConstantSolver-class

R Documentation

The ConstantSolver class.

Description

The ConstantSolver class.

Usage

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

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

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

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

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

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

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

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

## S4 method for signature 'ConstantSolver,ANY'
reduction_solve(object, problem, warm_start, verbose, solver_opts)

Arguments

`solver, object, x`	A ConstantSolver object.
`problem`	A Problem object.
`solution`	A Solution object to invert.
`inverse_data`	A list containing data necessary for the inversion.
`data`	Data for the solver.
`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(ConstantSolver): Can the solver handle mixed-integer programs?
accepts(object = ConstantSolver, problem = Problem): Is the solver capable of solving the problem?
perform(object = ConstantSolver, problem = Problem): Returns a list of the ConstantSolver, Problem, and an empty list.
invert(object = ConstantSolver, solution = Solution, inverse_data = list): Returns the solution.
name(ConstantSolver): Returns the name of the solver.
import_solver(ConstantSolver): Imports the solver.
is_installed(ConstantSolver): Is the solver installed?
solve_via_data(ConstantSolver): Solve a problem represented by data returned from apply.
reduction_solve(object = ConstantSolver, problem = ANY): Solve the problem and return a Solution object.