Advanced Matrix Computations
Orthogonal vectors are vectors that are perpendicular to each other, meaning their dot product equals zero. This concept is crucial in linear algebra as it relates to the geometric interpretation of vectors and the independence of vector spaces. Orthogonality provides a powerful tool for simplifying problems, especially when dealing with bases and transformations in various dimensions.
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