Interface to the MOSEK solver for Julia.
Mosek.jl is a complete mapping of the MOSEK functionality:
- All relevant MOSEK C API functions are available
- Callbacks for information retrival and log output during optimization
MOSEK can solve LP (linear), Conic (second order conic, power, exponential etc.), SDP (semi-definite), QP (quadratic objective, quadratic constraints), and MIP (mixed-integer problems). These can be mixed as follows:
- LP+CONIC+SDP
- LP+CONIC+MIP
MOSEK is commercial software, but free licenses are available for academic use. See here for details.
All functions and constants in the Mosek.jl are briefly documented in docs strings, accessible assume
julia> import Mosek
julia> ?Mosek.putarowslice
  Replaces all elements in several rows the linear constraint matrix.
  putarowslice(task::MSKtask,first::Int32,last::Int32,ptrb::Vector{Int64},ptre::Vector{Int64},asub::Vector{Int32},aval::Vector{Float64})
  putarowslice(task::MSKtask,first::T0,last::T1,ptrb::T2,ptre::T3,asub::T4,aval::T5) where {T0<:Integer,T1<:Integer,T2<:AbstractVector{<:Integer},T3<:AbstractVector{<:Integer},T4<:AbstractVector{<:Integer},T5<:AbstractVector{<:Number}} 
  putarowslice(task::MSKtask,first::T0,last::T1,At:: SparseMatrixCSC{Float64})
  Arguments: 
  At::SparseMatrixCSC{{Float64} Transposed matrix defining the row values. Note that for efficiency reasons the *columns* of this matrix defines the *rows* to be replaced
  asub::Vector{Int32} Column indexes of new elements.
  aval::Vector{Float64} Coefficient values.
  first::Int32 First row in the slice.
  last::Int32 Last row plus one in the slice.
  ptrb::Vector{Int64} Array of pointers to the first element in the rows.
  ptre::Vector{Int64} Array of pointers to the last element plus one in the rows.
  task::MSKtask An optimization task.
For a more complete manual and full API reference, please refer to the MOSEK Julia API documentation.
Use the Julia package manager to install Mosek.jl:
Pkg.add("Mosek")The Mosek.jl package requires the MOSEK distribution binaries run. Upon
installation it will attempt to either local an installed MOSEK or download and
install from the MOSEK website (www.mosek.com):
- If the environment variable MOSEKBINDIRis defined, the installer will assume that this directory contains the necessary libraries. If it does not, the installer will fail.
- If the current Mosek.jlinstallation uses a user-defined MOSEK and this is a valid version, this will be used.
- If MOSEK is installed in the default location in the users HOME directory, and this installation has the correct version, this will be used.
- If no usable MOSEK installation is found here, the installer will
attempt to download and unpack the latest distro. In this case doing
Pkg.build("Mosek")will update the MOSEK distro if possible.`
If the MOSEK distro installation directory is moved it is necessary to rebuild the package using
Pkg.build("Mosek")If you have previously installed Mosek.jl using a pre-installed
MOSEK distro, setting the MOSEKJL_FORCE_DOWNLOAD=YES will force the
installer to download MOSEK from the web instead of using the old
version.
Note that environment variables can be set temporarily from Julia as
ENV["MOSEKBINDIR"] = "/home/myname/lib"Furthermore, a license file is required to use MOSEK (these are
free for academic use). MOSEK will look first for the enironment
variable MOSEKLM_LICENSE_FILE which, if defined, must point to the relevant
license file. If this is not defined, MOSEK will look for a file
called mosek.lic in the default install path, e.g.
$HOME/mosek/mosek.licIf the MOSEK distro was installed manually, it can be updated simply
by installing a newer distro in the same place. Otherwise, doing
Pkg.build("Mosek") will check the latest MOSEK distro and update if
possible.
You can see if the MOSEK distro was installed internally this way:
is_internal = open(joinpath(Pkg.dir("Mosek"),"deps","inst_method"),"r") do f readstring(f) == "internal" endThe MathOptInterface wrapper
for MOSEK is a separate package called MosekTools.
However, for consistency the optimizer is still named Mosek.Optimizer.
Use MOSEK with JuMP as follows:
using JuMP, MosekTools
model = Model(Mosek.Optimizer)Since the Mosek.jl package is designed to match a specific MOSEK version (major+minor version), there are branches for the different MOSEK versions:
- Branch b0.8is compatible with MOSEK 8.0. Not actively updated.
- Branch b0.9is compatible with MOSEK 8.1. Currently updated only for bugfixes.
- Branch b1.1-msk9.1is compatible with MOSEK 9.1. Not actively updated.
- Branch b1.1-msk9.2is compatible with MOSEK 9.2. Not actively updated.
- Branch b1.1-msk9.3is compatible with MOSEK 9.3. Currently updated only for bugfixes.
- From MOSEK 10.0 and forward, Mosek.jlbranchbX.Yis compatible with MOSEK version X.Y.
- For MOSEK beta releases, there will be a corresponding branch, but there will not be releases of Mosek.jlfor MOSEK beta releases.Mosek.jlrelease vX.Y.Z will be taken from branchbX.Y.