MP-Opt-Model

Version 5.0 (1,75 MB) von Ray Zimmerman
Tools for constructing and solving mathematical programming problems.
301 Downloads
Aktualisiert 6. Jul 2025

MP-Opt-Model is a package of MATLAB/Octave M-files for constructing and solving mathematical programming and optimization problems. It provides an easy-to-use, object-oriented interface for building and solving your model. It also includes a unified interface for calling numerous LP, QP, mixed-integer and nonlinear solvers, with the ability to switch solvers simply by changing an input option.

It is based on code that was originally developed by Ray D. Zimmerman of Cornell University as part of MATPOWER.

Zitieren als

R. D. Zimmerman. MP-Opt-Model User's Manual. 2025. [Online]. Available: https://matpower.org/docs/MP-Opt-Model-manual.pdf doi: 10.5281/zenodo.3818002

Kompatibilität der MATLAB-Version
Erstellt mit R2020a
Kompatibel mit R2015b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
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examples

lib

lib/+mp

lib/@mp_idx_manager

lib/@opt_model

lib/t

lib/t/t_have_fcn

Version Veröffentlicht Versionshinweise
5.0

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/5.0

4.2

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/4.2

4.1.0.0

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/4.1

4.0

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/4.0

3.0

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/3.0

2.1

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/2.1

2.0

See release notes for this release on GitHub: https://github.com/MATPOWER/mp-opt-model/releases/tag/2.0

1.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.