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    222
  • Rank 179,123 (Top 4 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 6 years ago
  • Updated about 3 years ago

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Repository Details

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

Optimization-Python

General optimization (LP, MIP, QP etc.) examples using Python.

lp1

Fast optimization for complex simulations using Scipy interpolate

simu-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

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