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.
When set to true, Mosel uses the model's semantics to break down nonlinear formulas and feed the information to the solver for nonlinear eliminations and to detect network structures in the model.
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When set to true, quadratic expressions will be treated as being of general nonlinear type. If they are known to be non-convex, the overhead of attempting to treat the expression as convex initially is avoided.
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When set to true, names from the Mosel file will be passed to the underlying solver to improve the readability of messages it generates. This is an alias for XPRS_LOADNAMES.
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The solution status of the problem. For a detailed description of this value, please see the documentation for the XSLP_NLPSTATUS attribute in the Xpress NonLinear Reference Manual.
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Solver selection when available.
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When set to true, informative messages from any underlying nonlinear solver will be displayed. This is an alias for XPRS_VERBOSE.
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