I have binaries of solvers in a particular directory of my linux systems. Now I want to solve my JuMP model using those binaries. How do I do that?

To use a solver with JuMP the binary needs to be wrapped. Most of the common solvers have so you can just go

```
Pkg.add("Gurobi")
using Gurobi
m = Model(solver=GurobiSolver())
```

You can see a list of wrapped solvers in the table at the bottom of http://www.juliaopt.org/

Can this be done without the `Pkg.add()`

command?

What is the solver you have in mind ?

I am hoping to get a way to link all the optimisation solvers like Ipopt, Bonmin, Cbc, Clp, GLPK etc.

The available solvers are listed here: http://www.juliaopt.org/ As @odow says, you to use a solver in Julia, you need to install the corresponding package. By doing `Pkg.add("Gurobi")`

for Gurobi, , `Pkg.add("Ipopt")`

for Ipopt, …

Then to use it with JuMP, you need to do

```
using Ipopt
using JuMP
m = Model(solver=IpoptSolver())
```

Why do you want to find a way that doesn’t use `Pkg.add()`

?

Well, there are certain restrictions on me to use the `Pkg.add()`

command. I cannot run the command.

Also, does the `Pkg.build("Ipopt")`

check for installed Ipopt solver? If thats the case then I can install the solver and then run the build after downloading the source code of Ipopt package.

If you download `Ipopt.jl`

manually, e.g. by clicking on “Clone or download zip” here. Then if it is on `/path/to/Ipopt`

, you can do

```
julia> push!(LOAD_PATH, "/path/to")
julia> Pkg.build("Ipopt")
julia> using Ipopt
```