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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 Gram-Schmidt process for orthonormal bases, the QR decomposition, orthogonal projection theorem, matrix formulas, and the construction of vectors from given matrices. It explains how to find orthogonal and orthonormal bases, and their applications in vector subspaces.