This lecture covers the Gram-Schmidt algorithm for orthonormal bases in vector spaces, including the proof and application of the algorithm. It also discusses the best approximation theorem and the properties of orthogonal matrices.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
