An error "linking with link.exe failed: exit code: 1104" about optimization-engine HOT 8 CLOSED

@MuXingchui can you please provide some more details about this? Can you provide a minimal reproducible example?

Thank you for your reply! Refer to #259 , I know why. Then I updated my OpEn to the latest version, my project works good.

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You can use the TCP interface. I mean, you can crate a solver in Python and use .with_tcp_interface_config() (see here).

The TCP server just expects to receive a JSON-formatted string with the parameter, p, and returns another JSON-formatted string with the solution and various statistics (solver time, infeasibilities, etc). The communication protocol is described here.

I can easily make a little MATLAB function or class that will allow you to call from MATLAB an optimiser that has been created in Python. Would that be of interest?

from optimization-engine.

Well, I know what's wrong: my file path is to long. See here for details.
But when I build the TCP interface, it has another error:

error[E0432]: unresolved import `clap::App`
  --> src\main.rs:16:17
   |
16 | use clap::{Arg, App};
   |                 ^^^ no `App` in the root

error: cannot find macro `value_t` in this scope
   --> src\main.rs:263:16
    |
263 |     let port = value_t!(matches, "port", u32).unwrap_or(BIND_PORT_DEFAULT);
    |   

Is there something I've overlooked?
Is there a way to get this working?
Thanks!

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@MuXingchui can you please provide some more details about this? Can you provide a minimal reproducible example?

from optimization-engine.

@MuXingchui can you please provide some more details about this? Can you provide a minimal reproducible example?

Hello @alphaville, I have another question. Does MATLAB interface has the option ".with_aug_lagrangian_constraints"?
Where can I find all MATLAB interfaces ?

from optimization-engine.

No, unfortunately it doesn't. I've put a warning about this here. It's not difficult to support this, but I currently don't have the time to work on this.

A workaround could be to design your optimiser in Python and then just use it from MATLAB.

from optimization-engine.

Understood. But how to call the already built solver by Python in MATLAB?

from optimization-engine.

You can use the TCP interface. I mean, you can crate a solver in Python and use .with_tcp_interface_config() (see here).

The TCP server just expects to receive a JSON-formatted string with the parameter, p, and returns another JSON-formatted string with the solution and various statistics (solver time, infeasibilities, etc). The communication protocol is described here.

I can easily make a little MATLAB function or class that will allow you to call from MATLAB an optimiser that has been created in Python. Would that be of interest?

It is clear! I will try it. Sincere thanks for your guidance! :)

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