The ConstantSolver class.
class
## 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)
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 optionssolver_cache
: Cache for the solver.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.