Reference

MP-Opt-Model Classes

Use opt_model to build and solve your mathematical programming and optimization models.

MP-Opt-Model Functions

Master Functions

The MP-Opt-Model master functions provide unified interfaces to multiple solvers for linear program (LP), quadratic program (QP), nonlinear program (NLP), mixed-integer program (MILP/MIQP) optimization, as well as nonlinear equation (NLEQ) solving and parameterized nonlinear equation (PNE) solution tracing.

Utility Functions

Use these functions to convert linear constraints or to copy data from one struct to another.

Options Handling Functions

Use these functions to set up input options for individual solvers.

Version Information Functions

Use these functions to check the version of the installed MP-Opt-Model, Gurobi, and OSQP.

Solver Interfaces & Implementations

These functions provide the implementations and interfaces for the solvers accessible through the Master Functions above.

MIQP Solver

NLEQ Solver

NLP Solver

PNE Solver

LP/QP Solver

MP-Opt-Model Examples

These are examples of using MP-Opt-Model to solve a NLP.

MP-Opt-Model Tests

These functions test that MP-Opt-Model is installed and functioning as expected.

Private Functions

The following are private functions that implement detection of specific optional functionality. They are not intended to be called directly, but rather are used to extend the capabilities of have_feature().