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Covers the concept of the mixed product and related vector identities.
Covers the manipulation of indicial notation and tensor components, focusing on concepts such as indical notation, free indices, contraction, and the dot product.
Covers the definition of scalar product, properties, examples, and applications in Euclidean spaces, including the Cauchy-Schwartz inequality.
Covers the concept of 3D vector space, scalar product, bases, orthogonality, and projections.
Covers the representation of signals in vector spaces and inner product spaces, including the Projection Theorem.
