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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 theorems related to orthogonal projection, including the uniqueness of the decomposition of a vector into orthogonal components, the best approximation of a vector in a subspace, and the properties of orthogonal matrices. The lecture also explains the geometric interpretation of the theorems and provides examples of orthonormal bases and matrix operations.