Machine Learning, Artificial Intelligence, Data Science.
unit vectors. This sounds like a tough requirement but for some matrix, like a symmetric matrix, we can choose our eigenvectors to be orthonormal during factorization. The following matrix is orthogonal. And Like a diagonal matrix, its inverse is very easy to compute — the inverse of an orthogonal