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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the theory of unconstrained optimization, focusing on the concepts of global and local minima, convexity, and gradient. The instructor explains the conditions for optimality and equivalence in Rn space, providing examples and theorems to illustrate the concepts.