Evaluation steps for Scenario 3
Use your custom application to develop the model and then call the Xpress Optimizer libraries. Available for problems that can be solved with Xpress Optimizer
| Tool for model development: | Custom application that calls optimizer libraries. |
|---|---|
| Type of problem: | LP, MIP, QP, MIQP, NLP, MNLP |
| Tool for model deployment: | Optimizer libraries (C++/C, Java, .NET, Python) |
See ``Getting Started with Xpress'', Part III: `Getting started with the Optimizer', which presents examples in C language with detailed explanation. The corresponding example files can be found in your Xpress installation (directory xpressmp\examples\getting_started\Optimizer). The Optimizer Java and .NET interfaces provide similar functionality.
If you are working with Python please refer to the examples that are documented in the chapter `Examples of use' of the ``Xpress Optimizer Python Interface User Manual''.
Further information
- ``Xpress Optimizer Reference Manual''
- ``Xpress Optimizer Python Interface User Manual''
- For Non-linear programming (NLP,MNLP) see ``Xpress NonLinear Reference Manual''.