Optimization Python
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
* Python 3+ * scipy (`pip install scipy`) * numpy (`pip install numpy`) * PuLP (`pip install pulp`) * CVXPY (`pip install cvxpy`) The project is written primarily in Jupyter Notebook, distributed under the MIT License license, first published in 2018. Key topics include: convex-optimization, integer-programming, linear-programming, mixed-integer-programming, optimization.
Optimization-Python
General optimization (LP, MIP, QP etc.) examples using Python.
Fast optimization for complex simulations using Scipy interpolate
Please feel free to connect with me here on LinkedIn if you are interested in data science, machine learning.
Requirements
- Python 3+
- scipy (
pip install scipy) - numpy (
pip install numpy) - PuLP (
pip install pulp) - CVXPY (
pip install cvxpy)
My Medium articles on optimization
Read my article on Medium about optimization in machine learning algorithms
Read my article on Medium about optimization with SciPy
Read my article on Medium about stock market portfolio optimization with CVXPY
Read my article on Medium about linear programming with PuLP
Contributors
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