ReductionSolver-class function

The ReductionSolver class.

class

The ReductionSolver class.

## 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.
  • Maintainer: Anqi Fu
  • License: Apache License 2.0 | file LICENSE
  • Last published: 2024-11-07