/optimizay

collection of numerical optimization methods

Primary LanguageHTML

Optimizay

This repository contains a collection of mathematical optimization algorithms demonstrating underlying concepts in an interactive manner using Jupyter notebooks with Binder support:

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The content list is given below and subject to further expansion:

  1. Univarite Newton-Raphson Minimization

  2. Bivariate Gradient Descent vs. Newton-Raphson

  3. Bivariate Newton Root-finding

  4. Conjugate Gradient

  5. Gauss-Newton vs. Levenberg-Marquardt

  6. Stochastic Gradient Descent (SGD)

  7. Feature Engineering - Titanic

  8. Expectation Maximization

Credits

Author

Christopher Hahne