ConstantSolver-class: The ConstantSolver class.

Description

The ConstantSolver class.

Usage

# S4 method for ConstantSolver
mip_capable(solver)
# S4 method for ConstantSolver,Problem
accepts(object, problem)
# S4 method for ConstantSolver,Problem
perform(object, problem)
# S4 method for ConstantSolver,Solution,list
invert(object, solution, inverse_data)
# S4 method for ConstantSolver
name(x)
# S4 method for ConstantSolver
import_solver(solver)
# S4 method for ConstantSolver
is_installed(solver)
# S4 method for ConstantSolver
solve_via_data(
  object,
  data,
  warm_start,
  verbose,
  feastol,
  reltol,
  abstol,
  num_iter,
  solver_opts,
  solver_cache
)
# S4 method for 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.