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IGI-3013 Optimisation et introduction IA. 👨‍🏭 Solving math problem (i.e. Differentiable optimization, Constrained optimization, Geometric optimality, Projected gradient descent) thanks to AI.

persointra.esiee.fr/~chierchg/optimization/content/00/welcome.html

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lab06		lab06
README.md		README.md

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IGI 3013 is an academic lesson on optimisation

Note : Some Labs are not yet finish, it is an ongoing work

The goal is to work on function optimisation and discover AI principle.

Content of the course :

Differentiable optimization
Gradient descent
Constrained optimization
Geometric optimality
Orthogonal projection
- L1-ball
- Hypersphere

Package used :

Numpy / autograd / mathplotlib

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IGI-3013 Optimisation et introduction IA. 👨‍🏭 Solving math problem (i.e. Differentiable optimization, Constrained optimization, Geometric optimality, Projected gradient descent) thanks to AI.

persointra.esiee.fr/~chierchg/optimization/content/00/welcome.html

ai optimization numpy gradient-descent

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