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4 docs tagged with "vectors"

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Eigenvalues And Eigenvectors

Before we talk about eigenvalues and eigenvectors let us just remind ourselves that vectors can be transformed using matrices. For example we can rotate a vector using the rotation matrix:

Singular Value Decomposition - SVD

The eigendecomposition only works for square matrices, the singular value decomposition, short SVD, is a generalization of the eigendecomposition allowing it to be used for rectangular matrices. Singular value decomposition uses 3 matrices just like the eigendecomposition.