mmxnlp
The mmxnlp module provides access to nonlinear solvers, extending the capabilities provided by the mmxprs and mmnl modules. In particular, this module allows existing linear or mixed integer (MIP) models to be upgraded to include nonlinearities, without requiring unnecessary changes to the formulation. To use this module, the following line must be included in the header of the Mosel model file:
uses 'mmxnlp'Problem type and module hierarchy
Module mmxprs provides
- linear models and
- mixed integer linear models.
- convex quadratic models,
- convex quadratic mixed integer models,
- convex, quadratically constrained models, and
- convex, quadratically constrained mixed integer models.
- general nonlinear problems and
- general nonlinear mixed integer problems.
If the mmxnlp module is used for a model which does not require a general nonlinear solver, this should be equivalent to using the appropriate mmxprs or mmnl module directly.