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ReductionSolver-class

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: Can the solver handle mixed-integer programs?

  • name: Returns the name of the solver

  • import_solver: Imports the solver

  • is_installed: Is the solver installed?

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

  • reduction_solve: Solve a problem represented by data returned from apply.

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


CVXR

Disciplined Convex Optimization

v1.0-10
Apache License 2.0 | file LICENSE
Authors
Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Initial release

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