Mathematical optimization solvers: linear programming, nonlinear programming, and more
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MOpt
Mathematical optimization solvers in Python, implemented from scratch.
MOpt aims to cover the major classes of optimization problems behind a single, consistent solver interface:
- Linear programming — Simplex method, and more
- Nonlinear programming — line search, gradient descent, Newton's method, and more
- Planned — convex optimization, metaheuristics, matheuristics
⚠️ Early development. The API is not yet stable and solvers are being added incrementally.
Installation
pip install mopt
Or install the latest development version from GitHub:
pip install git+https://github.com/Trminh06-work/MOpt.git
License
MIT — see LICENSE.
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