Personal notes and projects on many different Data Science related areas
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Updated
Jul 31, 2020 - Jupyter Notebook
Personal notes and projects on many different Data Science related areas
DRIP Numerical Optimizer is a collection of Java libraries for Numerical Optimization and Spline Functionality.
keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation
A series of practical, sufficient, and to-the-point crash courses offered at the University of Tehran, mostly for Economics students with no prior programming background.
implicit differentiation with jax
An implementation on GPU's of a Solver for Markowitz's Model
MATLAB code implementations for Nonlinear Programming problems, covering methods like KKT conditions, optimization algorithms, genetic algorithms and penalty function approaches.
The project involves a practical optimization problem that is modelled and solved using some mathematical optimization methods and software.
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