Reference

MP-Opt-Model Classes

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

Deprecated:

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), quadratically-constrained quadratic program (QCQP), 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 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, HiGHS, 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

QCQP Solver

MP-Opt-Model Examples

These are examples of using MP-Opt-Model to build and solve various types of problems.

The following Live Scripts, also found in the examples directory, help to illustrate MP-Opt-Model usage.

milp_example1.mlx - Good introduction to build and solve a model with MP-Opt-Model.
qcqp_example1.mlx - Example of quadratic constraints and QCQP.

MP-Opt-Model Tests

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

Legacy Tests

Tests of deprecated functionality.

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().