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A comprehensive guide to vector spaces covering fundamental concepts such as vector spaces, subspaces, and linear combinations, along with key topics like linear independence, bases, and transformations. Delve into advanced ideas like inner product spaces, orthonormality, and their geometric interpretations. Includes practical applications like the Gram-Schmidt process, convex sets, and barycentric coordinates.

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