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ECOS_BB-class

An interface for the ECOS BB solver.


Description

An interface for the ECOS BB solver.

Usage

ECOS_BB()

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

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

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

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

Arguments

solver, object, x

A ECOS_BB object.

problem

A Problem object.

data

Data generated via an apply call.

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: Can the solver handle mixed-integer programs?

  • name: Returns the name of the solver.

  • perform: Returns a new problem and data for inverting the new solution.

  • 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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