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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 concepts of linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n. It explains how to interpret matrices as linear applications, find eigenvectors, and determine if vectors are orthogonal. The lecture also discusses the concept of orthogonal sets of vectors and the calculation of scalar products in R^n.
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