ECOS.jl
Julia wrapper for the ECOS embeddable conic optimization interior point solver.
The wrapper has two components:
- a thin wrapper around the complete C API
- an iterface to MathOptInterface
Installation
Install ECOS.jl using Pkg.add
:
import Pkg; Pkg.add("ECOS")
In addition to installing the ECOS.jl package, this will also download and install the ECOS binaries. (You do not need to install ECOS separately.) If you require a custom build of ECOS, see the Custom Installation instructions below.
License
ECOS.jl
is licensed under the MIT License (see LICENSE.md), but note that ECOS
itself is GPL v3.
Use with JuMP
TO use ECOS with JuMP, use
ECOS.Optimizer
:
using JuMP, ECOS
model = Model(ECOS.Optimizer)
set_optimizer_attribute(model, "maxit", 100)
Options
The list of options is defined the ecos.h
header,
which we reproduce here:
gamma # scaling the final step length
delta # regularization parameter
eps # regularization threshold
feastol # primal/dual infeasibility tolerance
abstol # absolute tolerance on duality gap
reltol # relative tolerance on duality gap
feastol_inacc # primal/dual infeasibility relaxed tolerance
abstol_inacc # absolute relaxed tolerance on duality gap
reltol_inacc # relative relaxed tolerance on duality gap
nitref # number of iterative refinement steps
maxit # maximum number of iterations
verbose # verbosity bool for PRINTLEVEL < 3
Custom Installation
After ECOS.jl is installed and built, you can replace the installed libecos
dependency with a custom installation by following the
Pkg documentation for overriding artifacts.
Note that your custom libecos
is required to be version 2.0.8.